Cloud-enabled prognosis for manufacturing

CIRP Annals - Manufacturing Technology

Volumn 64, Issue 2, 2015, Pages 749-772

  Gao, R ^a   Wang, L ^b   Teti, R ^c   Dornfeld, D ^d   Kumara, S ^e   Mori, M ^f   Helu, M ^g  

^a Case Western Reserve University   (United States)

^b ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^c UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e The Pennsylvania State University   (United States)

^f DMG Mori Seiki Co   (Japan)

^g NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

Author keywords

Cloud manufacturing; Condition monitoring; Predictive model

Indexed keywords

CLOUD COMPUTING; COMPUTATION THEORY; CONDITION MONITORING;

ADVANCED MANUFACTURING; CLOUD INFRASTRUCTURES; CLOUD MANUFACTURING; HISTORICAL DEVELOPMENT; MAINTENANCE SCHEDULING; PREDICTIVE MODELING;

MANUFACTURE;

EID: 84940450168     PISSN: 00078506     EISSN: 17260604     Source Type: Journal    
DOI: 10.1016/j.cirp.2015.05.011     Document Type: Article

References (273)

1. S. Abiteboul, I. Manolescu, P. Rigaux, M.C. Rousset, and P. Senellart Web Data Management 2011 Cambridge University Press Cambridge, UK
2. O. Abouelatta, and J. Madl Surface Roughness Prediction Based on Cutting Parameters and Tool Vibration in Turning Journal of Materials Processing Technology 118 2001 269 277
3. G. Adamson, L. Wang, M. Holm, and P. Moore Cloud Manufacturing - A Critical Review of Recent Development and Future Trends International Journal of Computer Integrated Manufacturing 2015 10.1080/0951192X. 2015.1031704
4. B. Adiseshan Manufacturing in the Cloud 2012 (http://www.automation.com/pdf-articles/inkumo/inkumo-white-paper-manufacturing-in-the-cloud.pdf)
5. D. Agrawal, S. Das, and A. El Abbadi Big Data and Cloud Computing: Current State and Future Opportunities Proceedings of the 14th International Conference on Extending Database Technology March, 2011, Uppsala, Sweden 2011 530 533
6. E. Alpaydin Introduction to Machine Learning 2014 MIT Press USA
7. D. An, J.H. Choi, T.L. Schmitz, and N.H. Kim in Situ Monitoring and Prediction of Progressive Joint Wear Using Bayesian Statistics Wear 270 2011 828 838
8. D. An, N.H. Kim, and J.H. Choi Options for Prognostics Methods: A Review of Data-Driven and Physics-Based Prognostics Proceedings of 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference April, 2013, Boston, MA, United States 2013
9. C. Anger, R. Schrader, and U. Klingauf Unscented Kalman Filter with Gaussian Process Degradation Model for Bearing Fault Prognosis Proceedings of the First European Conference of the Prognostics and Health Management Society June 2012, Dresden, Germany 2012
10. M. Armbrust, A. Fox, R. Griffith, A.D. Joseph, R. Katz, A. Konwinski, and M. Zaharia A View of Cloud Computing Communications of the ACM 53 4 2010 50 58
11. M.S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking IEEE Transactions on Signal Processing 50 2 2002 174 188
12. K. Aslantas, and S. Tasgetiren A Study of Spur Gear Pitting formation and Life Prediction Wear 257 2004 1167 1175
13. A. Bahga, and V. Madisetti Analyzing Massive Machine Maintenance Data in a Computing Cloud IEEE Transactions on Parallel and Distributed Systems 23 10 2012 1831 1843
14. D. Ball, R. Yan, T. Licht, A. Deshmukh, and R. Gao A Strategy for Decomposing Large-Scale Energy-Constrained Sensor Networks for System Monitoring Production Planning and Control 19 4 2008 435 447
15. D. Bandyopadhyay, and J. Sen Internet of Things: Applications and Challenges in Technology and Standardization Springer International Journal of Wireless Personal Communications 58 1 2011 49 69
16. P. Baraldi, F. Mangili, and E. Zio investigation of Uncertainty Treatment Capability of Model-based and Data-driven Prognostic Methods using Simulated Data Reliability Engineering and System Safety 112 2013 94 108
17. P. Baraldi, M. Compare, S. Sauco, and E. Zio Ensemble Neural Network-based Particle Filtering for Prognosis Mechanical Systems and Signal Processing 41 1-2 2013 288 300
18. P. Barham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R. Neugebauer, I. Pratt, and A. Warfield Xen and the Art of Virtualization ACM SIGOPS Operating Systems Review 37 5 2003 164 177
19. Y. Bar-Shalom, X.R. Li, and T. Kirubarajan Estimation with Applications to Tracking and Navigation 2001 John Wiley & Sons NY, USA
20. P. Baruah, and R. Chinnam HMMs for Diagnostics and Prognostics in Machining Processes International Journal of Production Research 43 6 2005 1275 1293
21. T. Berner-Lee Semantic Web Road Map. Design Issues for the World Wide Web 1-10 1998 www.w3.org/DesignIssues/Semantic.html
22. P. Bhattacharyya, D. Senupta, and S. Mukhopadhaya Cutting force Based Real-Time Estimation of Tool Wear in Face Milling Using a Combination of Signal Process Techniques Mechanical Systems and Signal Processing 21 6 2007 2665 2683
23. R. Bhinge, J. Park, N. Biswas, M. Helu, D. Dornfeld, K. Law, and S. Rachuri An Intelligent Machine Monitoring System using Gaussian Process Regressin for Energy Prediction Proceedings of 2014 IEEE International Conference on Big Data October, 2014, Washington, DC, USA 2014
24. Z.M. Bi, S.Y.T. Lang, W. Shen, and L. Wang Reconfigurable Manufacturing Systems: The State of the Art International Journal of Production Research 46 4 2008 967 992
25. G. Boothroyd, and W. Knight Fundamentals of Metal Machining and Machine Tools 2006 CSC Press USA
26. M. Bourguiba, K. Haddadou, I. El Korbi, and G. Pujolle Improving NETWORK, I/O VIRTUALIZATION for Cloud Computing IEEE Transactions on Parallel and Distributed Systems 25 3 2014 673 681
27. G. Byrne, D. Dornfeld, I. inasaki, G. Ketteler, W. König, and R. Teti Tool Condition Monitoring (Tcm) - The Status of Research and industrial Application CIRP Annals - Manufacturing Technology 44 2 1995 541 567
28. F. Cadini, E. Zio, and D. Avram Monte Carlo-Based Filtering for Fatigue Crack Growth Estimation Probabilistic Engineering Mechanics 24 3 2009 367 373
29. W. Caesarendra, A. Widodo, P.H. Thom, B.S. Yang, and J.D. Setiawan Combined Probability Approach and indirect Data-Driven Method for Bearing Degradation Prognostics IEEE Transactions on Reliability 60 1 2011 14 20
30. F. Camci, and R.B. Chinnam Health-State Estimation and Prognostics in Machining Processes IEEE Transactions on Automation Science and Engineering 7 3 2010 581 597
31. CAPP-4-SMEs, http://www.capp-4-smes.eu/, 2015.
32. B. Castanier, A. Grall, C. Berenguer, and M. roussignol A Condition-Based Maintenance Policy with Non-Periodic Inspections for a Two-Unit Series System Reliability Engineering & System Safety 87 2005 109 120
33. C. Chen, G. Vachtsevanos, and M.E. Orchard Machine Remaining Useful Life Prediction: An integrated Adaptive Neuro-Fuzzy and High-Order Particle Filtering Approach Mechanical Systems and Signal Processing 28 2012 597 607
34. C. Chen, B. Zhang, and G. Vachtsevanos Prediction of Machine Health Condition Using Neuro-Fuzzy and Bayesian Algorithms IEEE Transactions on instrumentation and Measurement 61 2 2012 297 306
35. C.M. Chiu, T.P. Liang, and E. Turban What Can Crowdsourcing do for Decision Support Decision Support Systems 65 2014 40 49
36. Y. Choi, and C.R. Liu Spall Progression Life Model for Rolling Contact Verified By Finish Hard Machined Surfaces Wear 262 1-2 2007 24 35
37. S.K. Choudhury, and P. Srinivas Tool Wear Prediction in Turning Journal of Materials Processing Technology 153-154 2004 276 280
38. M. Colledani, T. Tolio, A. Fischer, B. Iung, G. Lanza, R. Schmitt, and J. Váncza Design and Management of Manufacturing Systems for Production Quality CIRP Annals - Manufacturing Technology 63 2 2014 773 796
39. M. Compare, and E. Zio Predictive Maintenance by Risk Sensitive Particle Filtering IEEE Transactions on Reliability 63 1 2014 546 554
40. D.R. Cox, and H.D. Miller The Theory of Stochastic Processes 1977 CRC Press USA
41. D. D'Addona, T. Segreto, A. Simeone, and R. Teti Ann Tool Wear Modeling in the Machining of Nickel Superalloy Industrial Products CIRP Journal of Manufacturing Science and Technology 4 2011 33 37
42. M. Daigle, A. Bregon, and I. Roychoudhury A Distributed Approach to System-Level Prognostics Proceedings of Annual Conference of the Prognostics and Health Management Society September, 2012, Minneapolis, MN 2012
43. H.R. DePold, and F.D. Gass The Application of Expert Systems and Neural Networks To Gas Turbine Prognostics and Diagnostics Journal of Engineering for Gas Turbines and Power 121 4 1999 607 612
44. L. Dieulle, C. Berenguer, A. Grall, and M. Roussignol Sequential Condition-Based Maintenance Scheduling for a Deteriorating System European Journal of Operational Research 150 2003 451 461
45. DMG Mori MORI NET Global Edition 2015 http://en.dmgmori.com/products/software/mori-net/
46. DMG MORI Messenger 2015 https://www.dmgmorimessenger.com/
47. M. Dong, and David He Hidden Semi-Markov Model-based Methodology for Multi-sensor Equipment Health Diagnosis and Prognosis European Journal of Operation Research 178 3 2007 858 878
48. J. Dong, K.V.R. Subrahmanyam, Y.S. Wong, G.S. Hong, and A.R. Mohanty Bayesian-Inference-Based Neural Networks for Tool Wear Estimation International Journal of Manufacturing Technology 30 2006 797 807
49. D. Dornfeld, P.K. Wright, A. Vijayaraghavan, and M. Helu Enabling Manufacturing Research through Interoperability Transactions of the North American Manufacturing Research Institution of SME 37 2009 443 450
50. S. Dutta, S.K. Pal, S. Mukhopadhyay, and R. Sen Application of Digital Image Processing in Tool Condition Monitoring: A Review CIRP Journal of Manufacturing Science and Technology 6 3 2013 212 232
51. K. Efthymiou, N. Papakostas, D. Mourtzis, and G. Chryssolouris On a Predictive Maintenance Platform for Production Systems Procedia CIRP 3 2012 221 226
52. A. Elwany, and N. Gebraeel Sensor Driven Prognostic Models for Equipment Replacement and Sparse Parts inventory IEEE Transactions on industrial Electronic 40 7 2008 629 639
53. S.J. Engel, B.J. Gilmartin, K. Bongort, and A. Hess Prognostics, the Real Issues Involved with Predicting Life Remaining IEEE Aerospace Conference Proceedings 6 2000 457 470
54. E.F. Fama Market Efficiency, Long-Term Returns and Behavioral Finance Journal of Financial Economics 49 3 1998 283 306
55. K.C. Fan, H.M. Chen, and T.H. Kuo Prediction of Machining Accuracy Degradation of Machine Tools Precision Engineering 36 2012 288 298
56. L. Feng, H. Wang, X. Si, and H. Zou A State-Space-Based Prognostic Model for Hidden and Age-Dependent Nonlinear Degradation Process IEEE Transactions on Automation Science and Engineering 10 4 2013 1072 1086
57. M. Fouladirad, and A. Grall Condition-Based Maintenance for a System Subject to a Non-Homogeneous Wear Process with a Wear Rate Transition Reliability Engineering & System Safety 96 6 2011 611 618
58. S. Gasmi, C.E. Love, and W. Kahle A General Repair, Proportional-Hazards, Framework To Model Complex Repairable Systems IEEE Transactions on Reliability 52 1 2003 26 32
59. M. Gasperin, D. Juricic, P. Boskoski, and J. Vizintin Model-Based Prognostics of Gear Health Using Stochastic Dynamic Models Mechanical Systems and Signal Processing 25 2011 537 548
60. Y. Lei, Z. He, Y. Zi, and X. Chen New Clustering Algorithm-Based Fault Diagnosis using Compensation Distance Evaluation Technique Mechanical Systems and Signal Processing 22 2 2008 419 435
61. General Electric Industrial Internet Insights Report 2015 (https://www.gesoftware.com/)
62. S. Ghemawat, H. Gobioff, and S.T. Leung The Google File System ACM SIGOPS Operating Systems Review 37 5 2003 29 43
63. N. Ghosh, Y.B. Ravi, A. Patra, S. Mukhopadhyay, S. Paul, A.R. Mohanty, and A.B. Chattopadhyay Estimation of Tool Wear During CNC Milling Using Neural Network Based Sensor Fusion Mechanical Systems and Signal Processing 21 2007 466 479
64. T. Gneiting, and A.E. Raftery Weather Forecasting with Ensemble Methods Science 310 5746 2005 248 249
65. J.D. Goldhar, and M. Jelinek Manufacturing as a Service Business: CIM in the 21st Century Computers in Industry 14 1 1990 225 245
66. R. Gouriveau, and N. Zerhouni Connexionist-Systems-Based Long Term Prediction Approaches for Prognostics IEEE Transactions on Reliability 61 4 2012 909 920
67. H. Guan, R. Ma, and J. Li Workload-Aware Credit Scheduler for Improving Network I/O Performance in Virtualization Environment IEEE Transactions on Cloud Computing 2 2 2014 130 142
68. G. Halligam, and S. Jagannathan PCA Based Fault Isolation and Prognosis with Application to Pump International Journal of Advanced Manufacturing Technology 55 2011 699 707
69. A.J. Haug A Tutorial on Bayesian Estimation and Tracking Techniques Applicable to Nonlinear and Non-Gaussian Processes MITRE Technical Report 2005 MITRE Corporation
70. S. Heath Embedded Systems Design Second Edition 2003 Butterworth-Heinemann Oxford, UK
71. W. Heinrichs Do It Anywhere IEE Electronics Systems and Software 3 4 2005 30 33
72. A. Heng, S. Zhang, A.C. Tan, and J. Mathew Rotating Machinery Prognostics: State of the Art, Challenges and Opportunities Mechanical Systems and Signal Processing 23 3 2009 724 739
73. C.I. Henschke, D.F. Yankelevitz, D.M. Libby, M.W. Pasmantier, J.P. Smith, and O.S. Miettinen Survivial of Patients with Stage 1 Lung Cancer Detected on CT Screening The New England Journal of Medicine 355 17 2006 1763 1771
74. M. Hermann, T. Pentek, and B. Otto Design Principles for Industrie 4.0 Scenarios: A Literature Review (Working Paper) 2015 Technische Universität, Dortmund
75. M.A. Herzog, T. Marwala, and P.S. Heyns Machine and Component Residual Life Estimation through the Application of Neural Networks Reliability Engineering and System Safety 94 2009 479 489
76. F. Xiang, Y. Hu, and et al. Cloud Manufacturing Resource Access System Based on Internet of Things D. Sun, Applied Mechanics and Materials Vols. 121-126 2012 2421 2425
77. C. Hoffa, G. Mehta, T. Freeman, E. Deelman, K. Keahey, B. Berriman, and J. Good On the Use of Cloud Computing For Scientific Workflows Proceedings of IEEE Fourth International Conference on eScience December, 2008, Indianapolis, IN 2008
78. E. Hoffman Fundamentals of Tool Design 1984 SME Dearborn, MI
79. J. Howe The Rise of Crowdsourcing Wired 14 6 2006 1 4
80. J. Hu, L. Zhang, L. Ma, and W. Liang An Integrated Safety Prognosis Model for Complex System based on Dynamic Bayesian Network and Ant Colony Algorithm Expert Systems with Applications 38 3 2011 1431 1446
81. C. Hu, B.D. Youn, P. Wang, and J. Taek-Yoon Ensemble of Data-Driven Prognostic Algorithms for Robust Prediction of Remaining Useful Life Reliability Engineering and System Safety 103 2012 120 135
82. Z. Hu, X. Liu, and J. Li Two-stage Prediction and Update Particle Filtering Algorithm based on Particle Weight Optimization in Multi-sensor Observation High Technology Letter 20 1 2014 34 41
83. B. Huang, and J.C. Chen An in-Process Neural Network-Based Surface Roughness Prediction System Using A, Dynamometer in End Milling Operations International Journal of Advanced Manufacturing Technology 21 2003 339 347
84. S.H. Huang, and H.C. Zhang Artificial Neural Networks in Manufacturing: Concepts, Application, and Perspectives IEEE Transactions on Components, Packaging, and Manufacturing Technology 17 2 1994 212 228
85. R.Q. Huang, L.F. Xi, X.L. Li, R. Liu, H. Qiu, and J. Lee Residual Life Prediction for Ball Bearing based on Self-organizing Map and Back Propagation Neural Network Methods Mechanical Systems and Signal Processing 21 1 2007 193 207
86. B. Huang, C. Li, C. Yin, and X. Zhao Cloud Manufacturing Service Platform for Small- and Medium-Sized Enterprises The International Journal of Advanced Manufacturing Technology 65 9-12 2013 1261 1272
87. N. Huber, M. von Quast, M. Hauck, and S. Kounev Evaluating and Modeling Virtualization Performance Overhead for Cloud Environments 2011 CLOSER Netherlands 563 573
88. K.T. Huynh, A. Barros, and C. Berenguer Maintenance Decision-Making for Systems Operating Under indirect Condition Monitoring: Value of Online information and Impact of Measurement Uncertainty IEEE Transactions on Reliability 61 2 2012 410 425
89. D.J. Inman, C.R. Farrar, J.V. Lopes, and J.V. Steffen Damage Prognosis for Aerospace Civil and Mechanical Systems 2005 John Wiley & Sons, Ltd Chichester, UK
90. E. Ioannides, and T.A. Harris A New Fatigue Life Model for Rolling Bearings Journal of Tribology 107 3 1985 367 377
91. A. Iosup, S. Ostermann, M.N. Yigitbasi, R. Prodan, T. Fahringer, and D.H. Epema Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing IEEE Transactions on Parallel and Distributed Systems 22 6 2011 931 945
92. B. Iung, M. Veron, A. Muller, and M.C. Suhner Integration of Maintenance strategies into prognosis process to aid decision-making on system operation CIRP Annals - Manufacturing Technology 54 1 2005 5 8
93. B. Iung, B. Monnin, A. Voisin, P. Cocheteux, and E. Levrat Degradation State Model-Based Prognosis for Proactively Maintaining Product Performance CIRP Annals - Manufacturing Technology 57 1 2008 49 52
94. V. Jalali, and D. Leake Adaption-Guded Case Based Maintenance Proceedings of 28th AAAI Conference on Artifical Intelligence July, 2014, Quebec, Canada 2014
95. S. Janjarasjitt, H. Ocak, and K.A. Loparo Bearing Condition Diagnosis and Prognosis Using Applied Nonlinear Dynamical Analysis of Machine Vibration Signal Journal of Sound and Vibration 317 2008 112 126
96. A.K.S. Jardine, D. Banjevic, M. Wiseman, S. Buck, T. Joseph, and A. Optimizing Mine Haul Truck Wheel Motors' Condition Monitoring Program: Use of Proportional Hazards Modeling Journal of Quality in Maintenance Engineering 7 4 2001 286 301
97. A.K.S. Jardine, D. Lin, and D. Banjevic A Review on Machinery Diagnostics and Prognostics Implementing Condition-Based Maintenance Mechanical Systems and Signal Processing 20 7 2006 1483 1510
98. K. Javed, R. Gouriveau, N. Zerhouni, R. Zemouri, and X. Li Robust, Reliable and Applicable Tool Wear Monitoring and Prognostic: Approach based on an Improved-Extreme Learning Machine Proceedings of 2012 IEEE Conference on Prognostics and Health Management June, 2012, Denver, CO 2012
99. K. Jemielniak Commercial Tool Condition Monitoring Systems The international Journal of Advanced Manufacturing Technology 15 10 1999 711 721
100. C.L. Jiaa, and D.A. Dornfeld A Self-Organizing Approach to the Prediction and Detection of Tool Wear ISA transactions 37 4 1998 239 255
101. S. Kamarthi, S. Kumara, and P.H. Cohen Flank Wear Estimation in Turning through Wavelet Representation of Acoustic Emission Signals Journal of Manufacturing Science and Engineering 122 1 2000 12 19
102. J.M. Karandikar, N.H. Kim, and T.L. Schmitz Prediction of Remaining Useful Life for Fatigue-Damaged Structures Using Bayesian inference Engineering Fracture Mechanics 96 2012 588 605
103. H.A. Kishawy, S. Kannan, and M. Balazinski Analytical Modeling of Tool Wear Progression During Turning Particulate Reinforced Metal Matrix Composites CIRP Annals - Manufacturing Technology 54 1 2005 55 58
104. R. Kothamasu, S. Huang, and W. VerDuin System Health Monitoring and Prognostics - A Review of Current Paradigms and Practices International Journal of Advanced Manufacturing Technology 28 2006 1012 1024
105. M.N. Kotzalas, and T.A. Harris Fatigue Failure Progression in Ball Bearings Journal of Tribology 123 22 2001 238 242
106. G. Kousiouris, T. Cucinotta, and T. Varvarigou The Effects of Scheduling, Workload Type and Consolidation Scenarios on Virtual Machine Performance and Their Prediction Through Optimized Artificial Neural Networks Journal of Systems and Software 84 8 2011 1270 1291
107. R. Langner Stuxnet: Dissecting a Cyberwarfare Weapon IEEE Security and Privacy 9 3 2011 49 51
108. W. Lau, P. Venuvinod, and C. Rubenstein The Relation Between Tool Geometry and the Taylor Tool-Life Constant international Journal of Machine Tool Designing and Research 20 1 1980 29 44
109. S.K. Le, M. Fouladirad, A. Barros, E. Levrat, and B. Lung Remaining Useful Life Estimation based on Stochastic Deterioration Models: A Comparative Study Reliability Engineering and System Safety 112 2013 165 175
110. J. Lee, J. Ni, D. Djurdjanovic, H. Qiu, and H. Liao Intelligent Prognostics Tools and e-Maintenance Computers in Industry 57 2006 476 489
111. J. Lee, E. Lapira, B. Bagheri, and H. Kao Recent Advances and Trends in Predictive Manufacturing Systems in Big Data Environment Manufacturing Letters 1 2013 38 41
112. K.B. Lee, E.Y. Song, and P.S. Gu Integration of MTConnect and Standard-Based Sensor Networks for Manufacturing Equipment Monitoring Proceedings of ASME 2012 International Manufacturing Science and Engineering Conference, MSEC2012-7398 June, 2012, Notre Dame, IN, USA 2012
113. C. Leone, D. D'Addona, and R. Teti Tool Wear Modeling Through Regression Analysis and Intelligent Methods for Nickel Base Alloy Machining CIRP Journal of Manufacturing Science and Technology 4 2011 327 331
114. Y. Li, S. Billington, C. Zhang, T. Kurfess, S. Danyluk, and S. Liang Adaptive Prognostics for Rolling Element Bearing Condition Mechanical Systems and Signal Processing 13 1 1999 103 113
115. B.H. Li, L. Zhang, S.L. Wang, F. Tao, J.W. Cao, X.D. Jiang, X. Song, and X.D. Chai Cloud Manufacturing: A New Service-Oriented Networked Manufacturing Model Computer Integrated Manufacturing Systems 16 1 2010 1 7
116. T.C. Li, T.P. Sattar, and S.D. Sun Deterministic Resampling: Unbiased Sampling to Avoid Sample Impoverishment in Particle Filters Signal Processing 92 2012 1637 1645
117. T.C. Li, S.D. Sun, T.P. Sattar, and J.M. Corchado Fight Sample Degeneracy and Impoverishment in Particle Filters: A Review of Intelligent Approaches Expert Systems with Application 51 2014 3944 3954
118. S.Y. Liang, R.L. Hecker, and R.G. Landers Machining Process Monitoring and Control: the State-of-the-Art Journal of Manufacturing Science and Engineering 126 2 2004 297 310
119. Q. Lin, K. Xia, L. Wang, and L. Gao Research Progress of Cloud Manufacturing in China: A Literature Survey Proceedings of the ASME 2013 international Manufacturing Science and Engineering Conference, MSEC2013-1168 June, 2013, Madison, Wisconsin, USA 2013
120. Q. Lin, K. Xia, L. Wang, and L. Gao Research Progress of Cloud Manufacturing in China: a Literature Survey Proceedings of the ASME 2013 International Manufacturing Science and Engineering Conference, MSEC2013-1168 June, 2013, Madison, WI, USA 2013
121. J. Liu, W. Wang, and F. Golnaraghi A Multi-Step Predictor with a Variable input Pattern for System State forecasting Mechanical Systems and Signal Processing 13 2009 1586 1599
122. Q. Liu, M. Dong, and Y. Peng A Novel Method for Online Health Prognosis of Equipment Based on Hidden Semi-Markov Model Using Sequential Monte Carlo Methods Mechanical Systems and Signal Processing 32 2012 331 348
123. R. Lopez De Mantaras, D. McSherry, D. Bridge, D. Leake, B. Smyth, S. Craw, B. Faltings, M. Lou Maher, M. Cox, K. Forbus, M. Keane, and I. Watson Retrieval, Reuse, Revision and Retention in Case-Based Reasoning The Knowledge Engineering Review 20 03 2005 215 240
124. T.H. Loutas, D. Roulias, and G. Georgoulas Remaining Useful Life Estimation in Rolling Bearings Utilizing Data-Driven Probabilistic E-Support Vectors Regression IEEE Transactions on Reliability 62 4 2013 821 832
125. C. Lu, L. Tao, and H. Fan An intelligent Approach to Machine Component Health Prognostics by Utilizing only Truncated Histories Mechanical Systems and Signal Processing 42 1-2 2014 300 313
126. F. Macia-Perez, J.V. Berna-Martinez, D. Marcos-Jorquera, I. Lorenzo-Fonseca, and A. Ferrandiz-Colmeiro A New Paradigm: Cloud Agile Manufacturing International Journal of Advanced Science and Technology 45 2012 47 54
127. F. Macia-Perez, J.V. Berna-Martinez, D. Marcos-Jorquera, I. Lorenzo-Fonseca, and A. Ferrandiz-Colmeiro Cloud Agile Manufacturing IOSR Journal of Engineering 2 5 2012 1045 1048
128. A.K. Mahamad, S. Saon, and T. Hiyama Predicting Remaining Useful Life of Rotating Machinery Based Artificial Neural Network Computers and Mathematics with Applications 60 2010 1078 1087
129. A. Malhi, R. Yan, and R.X. Gao Prognosis of Defect Propagation Based on Recurrent Neural Networks IEEE Transactions on Instrumentation and Measuremenht 60 3 2011 703 711
130. P. Manenti Building the Global Cars of the Future Managing Automation 26 1 2011 8 14
131. ManuCloud, http://www.manuCloud-project.eu/index.php?id=233, 2015.
132. P.W. Marksberry, and I.S. Jawahir A Comprehensive Tool-Wear/Tool-Life Performance Model in the Evaluation of Ndm (Near Dry Machining) for Sustainable Manufacturing International Journal of Machine Tools & Manufacture 48 7-8 2008 878 886
133. D. Martin, M. Burstein, D. Mcdermott, S. Mcilraith, M. Paolucci, K. Sycara, D.L. Mcguinness, E. Sirin, and N. Srinivasan Bringing Semantics to Web Services with Owl-S World Wide Web 10 3 2007 243 277
134. T. Masood, R. Roy, A. Harrison, Y. Xu, S. Gregson, and C. Reeve Integrating Through-Life Engineering Service Knowledge with Product Design and Manufacture International Journal of Computer Integrated Manufacturing 28 1 2015 59 74
135. J. Mehnen, L. Tinsley, and R. Roy Automated In-Service Damage Identification CIRP Annals - Manufacturing Technology 63 1 2014 33 36
136. Y. Mei, L. Liu, X. Pu, S. Sivathanu, and X. Dong Performance Analysis of Network I/O Workloads in Virtualized Data Centers IEEE Transactions on Services Computing 6 1 2013 48 63
137. M. Meier, J. Seidelmann, and I. Mezgár ManuCloud: The Next-Generation Manufacturing as a Service Environment European Research Consortium for Informatics and Mathematics (ERCIM) News 83 2010 33 34
138. P. Mell, and T. Grance The NIST Definition of Cloud Computing NIST Special Publication 800-145 2011 U.S. Department of Commerce Available online at (http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf)
139. B. Mills, and A. Redford Machinability of Engineering Materials 1983 Applied Science London
140. R. Moghaddass, and M.J. Zuo An integrated Framework for Online Diagnostic and Prognostic Health Monitoring using a Multistate Deterioration Process Reliability Engineering and System Safety 124 2014 92 104
141. A. Mokhtar, and M. Houshmand Introducing a Roadmap to Implement the Universal Manufacturing Platform Using Axiomatic Design Theory International Journal of Manufacturing Research 5 2010 252 269
142. L. Monostori, A. Markus, H. VanBrussel, and E. Westkampfer Machine Learning Approaches to Manufacturing CIRP Annals - Manufacturing Technology 45 2 1996 675 712
143. M. Morcous, H. Rivard, and A. Hanna Case-Based Reasoning System for Modelling Infrastructure Deterioration Journal of Computing in Civil Engineering 16 2 2002 104 114
144. M. Mori, and M. Fujishima Remote Monitoring and Maintenance System for CNC Machine Tools Procedia CIRP 12 2013 7 12
145. M. Mori, M. Fujishima, M. Komatsu, B. Zhao, and Y. Liu Development of Remote Monitoring and Maintenance System for Machine Tools CIRP Annals - Manufacturing Technology 57 1 2008 433 436
146. MTConnect Institute MTConnect v. 1.3.0 2014 (http://www.mtconnect.org/downloads/standard.aspx)
147. M.E. Newman Spread of Epidemic Disease on Networks Physical Review E: Statistical, Nonlinear, and Soft Matter Physics 66 1 2002 016128
148. J.C. Newman, E.P. Philips, and M.H. Swain Fatigue-life Prediction Methodology using Small-Crack Theory International Journal of Fatigue 21 2 1999 109 119
149. B. Niebel, A. Draper, and R. Wysk Modern Manufacturing Process Engineering 1989 McGraw-Hill New York, NY
150. G. Niu, B.S. Yang, and M. Pecht Development of an Optimized Condition-Based Maintenance System by Data Fusion and Reliability-Centered Maintenance Reliability Engineering & System Safety 95 7 2010 786 796
151. H. Ocak, K.A. Loparo, and F.M. Discenzo Online Tracking of Bearing Wear Using Wavelet Packet Decomposition and Probabilistic Modeling: A Method for Bearing Prognostics Journal of Sound and Vibration 302 4 2007 951 961
152. H. Oh, B. Han, P. McCluskey, C. Han, and B.D. Youn Physics-of-Failure. Condition Monitoring and Prognostics of Insulated Gate Bipolar Transistor Modules: A Review IEEE Transactions on Power Electronics 30 5 2015 2413 2426
153. E. Olsson, P. Funk, and N. Xiong Fault Diagnosis in Industry using Sensor Readings and Case-Based Reasoning Journal of Intelligent and Fuzzy systems 15 1 2004 41 46
154. P. Oxley The Mechanics of Machining - An Analytical Approach To Assessing Machinability 1989 Ellis Horwood Chichester, UK
155. Y. Pan, J. Chen, and X. Li Bearing Performance Degradation Assessment Based on Lifting Wavelet Packet Decomposition and Fuzzy C-Means Mechanical Systems and Signal Processing 24 2010 559 566
156. P.C. Paris, M.P. Gomez, and W.E. Anderson A Rational Analytic Theory of Fatigue The Trend in Engineering 13 1961 9 14
157. C. Park, and W.J. Padgett Accelerated Degradation Models for Failure Based on Geometric Brownian Motion and Gamma Processes Lifetime Data Analysis 11 4 2005 511 527
158. C. Park, and W.J. Padgett Stochastic Degradation Models with Several Accelerating Variables IEEE Transactions on Reliability 55 2 2006 379 390
159. Y. Peng, and M. Dong A Prognosis Method using Age-dependent Hidden Semi-Markov Model for Equipment Health Prediction Mechanical Systems and Signal Processing 25 1 2011 237 252
160. Y. Peng, M. Dong, and M.J. Zuo Current Status of Machine Prognostics in Condition-Based Maintenance: A Review international Journal of Advanced Manufacturing Technology 50 2010 297 313
161. F.J. Pontes, A.P.D. Paiva, P.P. Balestrassi, J.R. Ferreira, and M.B.D. Silva Optimization of Radial Basis Function Neural Network Employed for Prediction of Surface Roughness in Hard Turning Process Using Taguchi's Orthogonal Arrays Expert Systems with Applications 39 9 2012 7776 7787
162. G. Poulachon, A. Moisan, and I.S. Jawahir Tool-Wear Mechanisms in Hard Turning with Polycrystalline Cubic Boron Nitride Tools Wear 250 1-2 2001 576 586
163. N. Pugno, M. Ciavarella, P. Cornetti, and A. Carpinteri A Generalized Paris' Law for Fatigue Crack Growth Journal of the Mechanics and Physics of Solids 54 2006 1333 1349
164. Y. Qian, R. Yan, and S. He Bearing Degradation Evaluation Using Recurrence Quantification Analysis and Kalman Filter IEEE Transactions on Instrumentation and Measurement 63 11 2014 2599 2610
165. J. Qiu, B.B. Seth, S.Y. Liang, and C. Zhang Damage Mechanics Approach for Bearing Lifetime Prognostics Mechanical Systems and Signal Processing 16 5 2002 817 829
166. D.T. Quinto Mechanical Property and Structure Relationships in Hard Coated Carbide Tools Metals Technology 9 1988 60 75
167. A. Quiroz, H. Kim, M. Parashar, N. Gnanasambandam, and N. Sharma Towards Autonomic Workload Provisioning for Enterprise Grids and Clouds Proceedings of the 10th IEEE/ACM International Conference on Grid Computing October, 2009, Victoria, Australia 2009
168. L.R. Rabiner A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition Proceedings of the IEEE 77 2 1988 257 286
169. A. Ranadive, M. Kesavan, A. Gavrilovska, and K. Schwan Performance Implications of Virtualizing Multicore Cluster Machines Proceedings of the 2nd ACM Workshop on System-level Virtualization for High Performance Computing March, 2008, Glasgow, Scotland 2008
170. K.M. Reichard, M. Van Dyke, and K. Maynard Application of Sensor Fusion and Signal Classification Techniques in A Distributed Machinery Condition Monitoring System Proceedings of AeroSense 2000 April, 2000, Orlando, FL 2000
171. L. Ren, L. Zhang, L. Wang, F. Tao, and X. Chai Cloud Manufacturing: Key Characteristics and Applications International Journal of Computer Integrated Manufacturing 2014 1 15 10.1080/0951192X.2014.902105
172. L. Ren, L. Zhang, C. Zhao, and X. Chai Cloud Manufacturing Platform: Operating Paradigm, Functional Requirements, and Architecture Design Proceedings of the ASME 2013 International Manufacturing Science and Engineering Conference, MSEC2013-1185 June, 2013, Madison, WI, USA 2013
173. L.C.K. Reuben, and D. Mba Diagnostics and Prognostics using Switching Kalman Filters Structural Health Monitoring 13 3 2014 296 306
174. A. Rutkowski, Y. Kadobayashi, I. Furey, D. Rajnovid, R. Martin, and T. Takahashi Cybex the Cybersecurity Information Exchange Framework (X. 1500) ACM SIGCOMM Computer Communication Review 40 5 2010 59 64
175. M.D. Ryan Viewpoint Cloud Computing Privacy Concerns on Our Doorstep Communications of the ACM 54 1 2011 36 38
176. SANY Heavy Industry 2015 http://www.sanygroup.com/
177. S.B. Saurabh, and P.S. Mahendra An Adaptive Unscented Kalman Filter for Tracking Sudden Stiffness Changes Mechanical System and Signal Processing 49 1-2 2014 181 195
178. A. Saxena, J. Celaya, B. Saha, S. Saha, and K. Goeble Metrics for Offline Evaluation of Prognostic Performance International Journal of Prognostics and Health Management 1 2010 4
179. A. Saxena, J. Celaya, E. Balaban, K. Goebel, B. Saha, S. Saha, and M. Schwabacher Metrics for Evaluating Performance of Prognostic Techniques Proceedings of 2008 International Conference on Prognostics and Health Management October, 2008, Denver, CO, USA 2008 1 17
180. D. Schaefer, J.L. Thames, R.D. Wellman, D. Wu, S. Yim, and D.W. Rosen Distributed Collaborative Design and Manufacture in the Cloud - Motivation, Infrastructure, and Education American Society for Engineering Education Annual Conference, AC2012-3017 June, 2012, San Antonio 2012
181. D. Shi, and N. Gindy Tool Wear Predictive Model based on Least Squares Support Vector Machine Mechanical Systems and Signal Processing 21 2007 1799 1814
182. K. Shvachko, H. Kuang, S. Radia, and R. Chansler The Hadoop Distributed File System Proceedings of 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies May, 2010, Incline Village, NV, USA 2010
183. X.S. Si, W. Wang, C.H. Hu, and D.H. Zhou Remaining Useful Life Estimation - A Review on the Statistical Data Driven Approaches European Journal of Operational Research 213 1 2011 1 14
184. X.S. Si, W. Wang, C.H. Hu, M.Y. Chen, and D.H. Zhou A Wiener-Process-Based Degradation Model with a Recursive Filter Algorithm for Remaining Useful Life Estimation Mechanical Systems and Signal Processing 35 1-2 2013 219 237
185. X.S. Si, W. Wang, C.H. Hu, and D.H. Zhou Estimating Remaining Useful Life with Three-source Variability in Degradation Modelling IEEE Transaction on Reliability 63 1 2014 167 190
186. J.Z. Sikorska, M. Hodkiewicz, and L. Ma Prognostic Modelling Options for Remaining Useful Life Estimation By industry Mechanical Systems and Signal Processing 25 5 2011 1803 1836
187. R. Singh, U. Sharma, E. Cecchet, and P. Shenoy Autonomic Mix-Aware Provisioning for Non-Stationary Data Center Workloads Proceedings of the 7th International Conference on Autonomic Computing June, 2010, Washington, DC 2010
188. SKF @ptitude Analyst 2015 http://www.skfmaintenanceservices.de/uploads/media/aptitude-analyst-englisch.pdf
189. J. Son, Q. Zhou, S. Zhou, X. Mao, and M. Salman Evaluation and Comparison of Mixed Effects Model Based Prognosis for Hard Failure IEEE Transactions on Reliability 62 2 2013 379 394
190. B. Sotomayor, R.S. Montero, I.M. Llorente, and I. Foster An Open Source Solution for Virtual Infrastructure Management in Private and Hybrid Clouds Proceedings of the IEEE international Conference on Internet Computing July, 2009, Cancouver, Canada 2009
191. A. Soualhi, H. Razik, G. Clerc, and D.D. Doan Prognosis of Bearing Failures Using Hidden Markov Models and the Adaptive Neuro-fuzzy inference System IEEE Transaction on industrial Electronic 61 6 2014 2864 2874
192. A. Soylemezoglu, S. Jagannathan, and C. Saygin Mahalanobis-Taguchi System as a Multi-Sensor Based Decision Making Prognostics Tool for Centrifugal Pump Failures IEEE Transactions on Reliability 60 4 2011 864 878
193. J.H. Suh, S.R. Kumara, and S.P. Mysore Machinery Fault Diagnosis and Prognosis: Application of Advanced Signal Processing Techniques CIRP Annals - Manufacturing Technology 48 1 1999 317 320
194. B. Sun, S. Zeng, R. Kang, and M.G. Pecht Benefits and Challenges of System Prognostics IEEE Transactions on Reliability 61 2 2012 323 335
195. J. Sun, H. Zuo, W. Wang, and M.G. Pecht Application of a State Space Modeling Technique to System Prognostics Based on a Health index for Condition-Based Maintenance Mechanical Systems and Signal Processing 28 2012 585 596
196. J. Sun, H. Zuo, W. Wang, and M.G. Pecht Prognostics Uncertainty Reduction by Fusing on-line Monitoring Data based on a State-space-based Degradation Model Mechanical Systems and Signal Processing 45 2 2014 396 407
197. P.V.S. Suresh, P.V. Rao, and S.G. Deshmukh A Genetic Algorithmic Approach for Optimization of Surface Roughness Prediction Model International Journal of Machine Tools and Manufacture 42 6 2002 675 680
198. System Insights, Inc. VIMANA Core by System Insights 2015 (http://www.systeminsights.com/core/)
199. S. Takata, F. Kirnura, F.J.A.M. Van Houten, E. Westkamper, M. Shpitalni, D. Ceglarek, and J. Lee Maintenance: Changing Role in Life Cycle Management CIRP Annals - Manufacturing Technology 53 2 2004 643 655
200. C. Talbott Prognosis of Remaining Machine Life Based on Condition Sound and Vibration 32 6 1998 16 18
201. F. Tao, L. Zhang, V.C. Venkatesh, Y. Luo, and Y. Cheng Cloud Manufacturing: A Computing and Service-Oriented Manufacturing Model Proceedings of the Institution of Mechanical Engineers, B: Journal of Engineering Manufacture 225 10 2011 1969 1976
202. N. Tapogloul, J. Mehnen, A. Vlachou, M. Doukas, N. Milas, and D. Mourtzis Cloud Based Platform for Optimal Machining Parameter Selection Based on Function Blocks and Real Time Monitoring Journal of Manufacturing Science and Engineering 2015 10.1115/1.4029806 (published online)
203. R. Teti, and D. D'Addona Grinding Wheel Management through Neuro-Fuzzy Forecasting of Dressing Cycle Time CIRP Annals - Manufacturing Technology 52 1 2003 407 410
204. R. Teti, and S.R.T. Kumara Intelligent Computing Methods for Manufacturing Systems CIRP Annals - Manufacturing Technology 46 2 1997 629 652
205. R. Teti, K. Jemielniak, G. O'Donnell, and D. Dornfeld Advanced Monitoring of Machining Operations CIRP Annals - Manufacturing Technology 59 2 2010 717 739
206. J.L. Thames Distributed Collaborative and Automated Cybersecurity Infrastructures for Cloud-Based Design and Manufacturing D. Schaefer, Cloud-Based Design and Manufacturing (CBDM): A Service-Oriented Product Development Paradigm for the 21st Century 2014 Springer London 207 229
207. The MITRE Corporation Trusted Automated eXchange of Indicator Information: Enabling Cyber Threat Information Exchange 2014 (http://taxii.mitre.org/)
208. The MITRE Corporation Structured Threat Information eXpression: A Structured Language for Cyber Threat Intelligence Information 2014 (http://stix.mitre.org/)
209. Z. Tian An Artificial Neural Network Method for Remaining Useful Life Prediction of Equipment Subject To Condition Monitoring Journal of intelligent Manufacturing 23 2 2012 227 237
210. D.A. Tobon-Mejia, K. Medjaher, and N. Zerhouni CNC Machine Tool's Wear Diagnostic and Prognostic by using Dynamic Bayesian Networks Mechanical Systems and Signal Processing 28 2012 167 182
211. D.A. Tobon-Mejia, K. Medjaher, N. Zerhouni, and G. Tripot A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models IEEE Transactions on Reliability 61 2 2012 491 503
212. H.K. Tonshoff, J.P. Wulfsberg, H.J.J. Kals, W. Konig, and C.A. van Luttervelt Development and Trends in Monitoring and Control of Machining Process CIRP Annals - Manufacturing Technology 37 2 1988 611 622
213. K. Tracht, G. Goch, P. Schuh, M. Sorg, and J.F. Westerkamp Failure Probability Prediction Based on Condition Monitoring Data of Wind Energy Systems for Spare Parts Supply CIRP Annals - Manufacturing Technology 62 1 2013 127 130
214. V.T. Tran, B.S. Yang, and A.C.C. Tan Multi-Step Ahead Direct Prediction For the Machine Condition Prognosis Using Regression Tress and Neruo-Fuzzy Systems Expert Systems with Applications 36 2009 9378 9387
215. V.T. Tran, P.H. Thom, B.S. Yang, and N.T. Tien Machine Performance Degradation Assessment and Remaining Useful Life Prediction Using Proportional Hazard Model and Support Vector Machine Mechanical Systems and Signal Processing 32 2012 323 330
216. S.T. Tseng, N. Balakrishnan, and C. Tsai Optimal Step-Stress Accelerated Degradation Test Plan for Gamma Degradation Processes IEEE Transactions on Reliability 58 4 2009 611 618
217. U.S. Department of Energy Operations & Maintenance Best Practices: A Guide to Achieving Operational Efficiency 2010 U.S. Department of Energy
218. E. Usui, A. Hirota, and M. Masuko Analytical Prediction of Three-Dimensional Cutting Process - Part 1: Basic Cutting Model and Energy Approach Journal of Engineering for Industry 100 2 1997 222 228
219. G. Vachtsevanos, F. Lewis, M. Roemer, A. Hess, and B. Wu intelligent Fault Diagnosis and Prognosis for Engineering Systems 2006 John Wiley & Sons, Inc Hoboken, NJ
220. O.F. Valilai, and M. Houshmand A Collaborative and Integrated Platform to Support Distributed Manufacturing System Using a Service-Oriented Approach Based on Cloud Computing Paradigm Robotics and Computer-Integrated Manufacturing 29 2013 110 127
221. J.M. Van-Noortwijk A Survey of the Application of Gamma Processes in Maintenance Reliability Engineering and System Safety 94 1 2009 2 21
222. W. Venters, and E.A. Whitley A Critical Review of Cloud Computing: Researching Desires and Realities Journal of Information Technology 27 2012 179 197
223. A. Vijayaraghavan, and D. Dornfeld Automated Energy Monitoring of Machine Tools CIRP Annals - Manufacturing Technology 59 1 2010 21 24
224. A. Vijayaraghavan, W. Sobel, A. Fox, D. Dornfeld, and P. Warndorf Improving Machine Tool Interoperability using Standardized Interface Protocols: MTConnect™ Proceedings of 2008 International Symposium on Flexible Automation June, 2008, Atlanta, GA, USA 2008
225. A. Vijayaraghavan, L. Huet, D. Dornfeld, W. Sobel, B. Blomquist, and M. Conley Addressing Process Planning and Verification Issues with MTConnect Transactions of the North American Manufacturing Research Institution of SME 37 2009 557 564
226. P.J. Vlok, M. Wnek, and M. Zygmunt Utilising Statistical Residual Life Estimates of Bearings To Quantify the influence of Preventive Maintenance Actions Mechanical Systems and Signal Processing 18 4 2004 833 847
227. G.W. Vogl, B.A. Weiss, and M.A. Donmez Standards Related to Prognostics and Health Management (PHM) for Manufacturing NIST Internal Report 2014 NISTIR 8012
228. E.A. Wan, and R. Van der Merwe The Unscented Kalman Filter for Nonlinear Estimaton The IEEE Adaptive Systems for Signal Processing, Communications and Control Symposium October, 2000, Lake Louise, AB 2000 153 158
229. L. Wang, and W. Shen DPP: An Agent-Based Approach for Distributed Process Planning Journal of Intelligent Manufacturing 14 5 2003 429 439
230. X.V. Wang, and X.W. Xu An Interoperable Solution for Cloud Manufacturing Robotics and Computer-Integrated Manufacturing 29 4 2013 232 247
231. X.V. Wang, and X.W. Xu ICMS: A Cloud-based Manufacturing System W.D. Li, J. Mehnen, Cloud Manufacturing: Distributed Computing Technologies for Global and Sustainable Manufacturing 2013 Springer-Verlag London 1 22
232. L. Wang, H.Y. Feng, and N. Cai Architecture Design for Distributed Process Planning Journal of Manufacturing Systems 22 2 2003 99 115
233. W.Q. Wang, M.F. Golnaraghi, and F. Ismail Prognosis of Machine Health Condition Using Neuro-Fuzzy Systems Mechanical Systems and Signal Processing 18 4 2004 813 831
234. L. Wang, M. Holm, and G. Adamson Embedding a Process Plan in Function Blocks for Adaptive Machining CIRP Annals - Manufacturing Technology 59 1 2010 433 436
235. X. Wang, N. Balakrishnan, and B. Guo Residual Life Estimation Based on a Generalized Wiener Degradation Process Reliability Engineering and System Safety 124 2014 13 23
236. Z.Q. Wang, C.H. Hu, W. Wang, and X.S. Si An Additive Wiener Process-based Prognostic Model for Hybrid Deteriorating Systems IEEE Transactions on Reliability 63 1 2014 208 222
237. L. Wang, X.V. Wang, L. Gao, and J. Váncza A Cloud-Based Approach for WEEE Remanufacturing CIRP Annals - Manufacturing Technology 63 1 2014 409 412
238. P. Wang, R. Gao, and Z. Fan Swithcing Local Search Particle Filtering Applied to Heat Exchanger System Proceedings of 2015 IEEE International Instrumentation and Measurement Technology Conference May, 2015, Pisa, Italy 2015
239. J. Wang, P. Wang, and R. Gao Particle Filter for Tool Wear Prediction Proceedings of 42nd North American Manufacturing Research Conference June, 2014, Detroit, Michigan 2014
240. L. Wang, R.X. Gao, and I. Ragai An Integrated Cyber-Physical System for Cloud Manufacturing Proceedings of the ASME International Manufacturing Science and Engineering Conference, MSEC2014-4171 June, 2014, Detroit, MI, USA 2014
241. M. Wang, J. Zhou, and S. Jing Cloud Manufacturing: Needs, Concept and Architecture IEEE 16th International Conference on Computer Supported Cooperative Work in Design May, 2012, Wuhan, China 2012
242. J. Wang, P. Wang, and R.X. Gao Tool Life Prediction for Sustainable Manufacturing Proceedings of 11th Global Conference on Sustainable Manufacturing September, 2013, Berlin, Germany 2013
243. R.E. Kalman A New Approach to Linear Filtering and Prediction Problems Transactions of the ASME Journal of Basic Engineering 82 1960 35 45
244. L.J. Wells, J.A. Camelio, C.B. Williams, and J. White Cyber-Physical Security Challenges in Manufacturing Systems Manufacturing Letters 2 2014 74 77
245. H.P. Wiendahl, H.A. ElMaraghy, P. Nyhuis, M.F. Zäh, H.H. Wiendahl, N. Duffie, and M. Brieke Changeable Manufacturing-Classification Design and Operation CIRP Annals - Manufacturing Technology 56 2 2007 783 809
246. K. Worden, and J.J. Hensman Parameter Estimation and Model Selection for a Class of Hysteretic Systems using Bayesian Inference Mechanical Systems and Signal Processing 32 2012 153 169
247. D. Wu, M.J. Greer, D.W. Rosen, and D. Schaefer Cloud Manufacturing: Strategic Vision and State-of-The-Art Journal of Manufacturing Systems 32 4 2013 564 579
248. D. Wu, D.W. Rosen, and D. Schaefer Cloud-Based Design and Manufaturing: Status and Promise D. Schaefer, Cloud-Based Design and Manufacturing (CBDM): A Service-Oriented Product Development Paradigm for the 21st Century 2014 Springer London 1 24
249. D. Wu, D.W. Rosen, L. Wang, and D. Schaefer Cloud-Based Design and Manufacturing: A New Paradigm in Digital Manufacturing and Design Innovation Computer-Aided Design 59 2015 1 14
250. D. Wu, J.L. Thames, D.W. Rosen, and D. Schaefer Towards a Cloud-Based Design and Manufacturing Paradigm: Looking Backward, Looking Forward Proceedings of the ASME 2012 International Design Engineering Technical Conference and Computers and Information Engineering Conference, DETC2012-70780 August, 2012, Chicago, IL, USA 2012
251. D. Wu, M.J. Greer, D.W. Rosen, and D. Schaefer Cloud Manufacturing: Drivers, Current Status, and Future Trends Proceedings of the ASME 2013 international Manufacturing Science and Engineering Conference, MSEC2013-1106 June, 2013, Madison, WI, USA 2013
252. D. Wu, D.W. Rosen, and D. Schaefer Modeling and Analyzing the Material Flow of Crowdsourcing Processes in Cloud-Based Manufacturing Systems Using Stochastic Petri Nets Proceedings of the ASME 2014 International Manufacturing Science and Engineering Conference, MSEC2014-3907 June, 2014, Detroit, MI, USA 2014
253. X. Xu From Cloud Computing to Cloud Manufacturing Robotics and Computer-Integrated Manufacturing 28 2012 75 86
254. Yamazaki Mazak Europe Cyber Production Center 2015 (http://www.mazak.eu/Cyber-Production-Center/)
255. J. Yan, C. Guo, and X. Wang A Dynamic Multi-Scale Markov Model Based Methodology for Remaining Life Prediction Mechanical Systems and Signal Processing 25 4 2011 1364 1376
256. R. Yan, Z. Fan, R. Gao, and H. Sun Energy-Efficient Sensor Data Gathering in Wireless Sensor Networks Sensors and Materials 25 1 2013 31 44
257. S.K. Yang A Condition-Based Failure-Prediction and Processing-Scheme for Preventive Maintenance IEEE Transactions on Reliability 52 3 2003 373 383
258. B.S. Yang, S. Kwon Jeong, Y.M. Oh, and A.C.C. Tan Case-Based Reasoning System with Petri Nets for Induction Motor Fault Diagnosis Expert Systems with Applications 27 2 2004 301 311
259. Y.J. Yang, R.X. Gao, Z.Y. Fan, J.J. Wang, and L.H. Wang Cloud-based Prognosis: Perspective and Challenge Proceedings of the ASME 2014 International Manufacturing Science and Engineering Conference June, 2014, Detroit, Michigan, USA 2014
260. S.Z. Yu Hidden Semi-Markov Models Artificial Intelligence 174 2 2010 215 243
261. R. Yu, B. Iung, and H. Panetto A Multi-Agents Based E-Maintenance System with Case-Based Reasoning Decision Support Engineering Applications of Artificial Intelligence 16 4 2003 321 333
262. S.S.H. Zaidi, S. Aviyente, M. Salman, K.K. Shin, and E.G. Strangas Prognosis of Gear Failures in Dc Starter Motors Using Hidden Markov Models IEEE Transactions on industrial Electronics 58 5 2011 1695 1706
263. M. Zghal, L. Mevel, and D.M. Pierre Modal Parameter Estimation Using Interacting Kalman Filter Mechanical Systems and Signal Processing 47 2014 139 150
264. Q. Zhang, L. Cheng, and R. Boutaba Cloud Computing: State-of-the-Art and Research Challenges Journal of Internet Services and Applications 1 1 2010 7 18
265. L. Zhang, Y. Luo, F. Tao, B.H. Li, L. Ren, X. Zhang, H. Guo, Y. Cheng, A. Hu, and Y. Liu Cloud Manufacturing: A New Manufacturing Paradigm Enterprise Information Systems 8 2 2012 167 187
266. F. Zhao, Z. Tian, and Y. Zeng Uncertainty Quantification in Gear Remaining Useful Life Prediction through an integrated Prognostics Method IEEE Transactions on Reliability 62 1 2013 146 159
267. Z. Zhao, Q. Quan, and K.Y. Cai A Profust Reliability based Approach to Prognostics and Health Management IEEE Transactions on Reliability 63 1 2014 26 41
268. Z.D. Zhou, Y.P. Chen, J.Y.H. Fuh, and A.Y.C. Nee integrated Condition Monitoring and Fault Diagnosis for Modern Manufacturing Systems CIRP Annals - Manufacturing Technology 49 1 2000 387 390
269. Z.J. Zhou, C.H. Hu, D.L. Xu, M.Y. Chen, and D.H. Zhou A Model for Real-time Failure Prognosis Based on Hidden Markov Model and Belief Rule Base European Journal of Operational Research 207 1 2010 269 283
270. J.T. Zhou, H.C. Yang, M.W. Wang, S.K. Jing, and R. Mo GetCM: A Vision of Cloud Manufacturing Advanced Materials Research 213 2011 388 392
271. Z. Zhou, Q. Liu, and W. Xu From Digital Manufacturing to Cloud Manufacturing International Journal of Engineering Innovation and Management 1 1 2011 1 14
272. K. Zhu, Y.S. Wong, and G.S. Hong Wavelet Analysis of Sensor Signals for Tool Condition Monitoring: A Review and Some New Results International Journal of Machine Tools and Manufacture 49 7 2009 537 553
273. E. Zio, and G. Peloni Particle Filtering Prognostic Estimation of the Remaining Useful Life of Nonlinear Components Reliability Engineering and System Safety 96 3 2011 403 409