A review of condition-based maintenance decision-making

European Journal of Industrial Engineering

Volumn 6, Issue 5, 2012, Pages 519-541

  Ahmad, Rosmaini ^a   Kamaruddin, Shahrul ^a  

^a SCHOOL OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

CBM; CM; Condition monitoring; Condition based maintenance; Decision making process; Deterioration modelling

Indexed keywords

CONDITION MONITORING; CURIUM; DECISION MAKING; DETERIORATION;

CONDITION BASED MAINTENANCE; CONDITION EVALUATION; CONDITION PREDICTION; DECISION MAKING PROCESS; MAINTENANCE COST; MAINTENANCE DECISIONS; METHODS OF DECISION MAKINGS; TIME BASED MAINTENANCE;

PREVENTIVE MAINTENANCE;

EID: 84866021265     PISSN: 17515254     EISSN: 17515262     Source Type: Journal    
DOI: 10.1504/EJIE.2012.048854     Document Type: Article

References (100)

1. Amari, S.V., McLaughlin, L. and Pham, H. (2006) 'Cost-effective condition-based maintenance using markov decision processes', Proceedings - Annual Reliability Maintenance Symposium, No. 1677417, pp.464-469. (Pubitemid 46900310)
2. Andersen, T.M. and Rasmussen, M. (1999) 'Decision support in a condition based environment', Journal of Quality in Maintenance Engineering, Vol. 5, No. 2, pp.89-101.
3. Baruah, P. and Chinnam, R.B. (2003) 'HMMs for diagnostics and prognostics in machining processes', Proc. of the 57th Society for Machine Failure Prevention Technology Conference, p.497.
4. Baruah, P. and Chinnam, R.B. (2005) 'HMMs for diagnostics and prognostics in machining processes', International Journal of Production Research, 15 March, Vol. 43, No. 6, pp.1275-1293(19).
5. Bechhoefer, E., Bernhard, A., He, D. and Banerjee, P. (2006) 'Use of hidden semi-Markov models in the prognostics of shaft failure', Presented at the American Helicopter Society 62nd Annual Forum, 9-11 May 2006, Phoenix, AZ.
6. Bloch, H.P. and Geitner, F.K. (1983) Machinery Failure Analysis and Troubleshooting, Gulf, Houston, TX.
7. Bunks, C., Mccarthy, D. and Al-Ani, T. (2000) 'Condition-based maintenance of machines using hidden Markov models', Mechanical System and Signal Processing, Vol. 14, No. 4, pp.597-612.
8. Caesarendra, W., Widodo, A. and Yang, B-S. (2009) Application of Relevance Vector Machine and Logistic Regression for Machine Degradation Assessment, doi:10.1016/j.ymssp.2009.10.011.
9. Carr, M.J. and Wang, W. (2008) 'A case comparison of a proportional hazards model and a stochastic filter for condition-based maintenance applications using oil based condition monitoring information', Proceedings of the Institution of Mechanical Engineers, Part 0, Journal of Risk and Reliability, Vol. 222, pp.47-55.
10. Coit, D.W. and English, J.R. (1999) 'System reliability modelling considering the dependence of component environmental influences', Proceedings Annual Reliability and Maintainability Symposium, January, pp.214-218, Washington, DC, USA.
11. Cox, D.R. and Oakes, D. (1984) Analysis of Survival Data, Chapman & Hall.
12. Dekker, R. (1996) 'Application of maintenance optimization models: a review and analysis', Reliability Engineering and System Safety, Vol. 51, pp.229-240. (Pubitemid 126349477)
13. DePold, H.R. and Gass, F.D. (1999) 'The application of expert systems and neural networks to gas turbine prognostics and diagnostics', Journal of Engineering Gas Turbine Power, October, Vol. 121, pp.607-612. (Pubitemid 129652440)
14. Dong, M. (2008) 'A novel approach to equipment health management based on auto-regressive hidden semi-Markov model (AR-HSMM)', Science in China Series F: Information Sciences, September, Vol. 51, No. 9, pp.1291-1304.
15. Dong, M. and He, D. (2007) 'A segmental hidden semi-markov model (HSMM)-based diagnostics and prognostics framework and methodology', Mechanical System and Signal Processing, Vol. 21, pp.2248-2266. (Pubitemid 46566399)
16. Dong, M., He, D., Banerjee, P. and Keller, J. (2006) 'Equipment health diagnosis and prognosis using hidden semi-markov models', International Journal in Advances Manufacturing Technology, Vol. 30, pp.738-749. (Pubitemid 44411203)
17. Dong, Y-L., Gu, W., Yang, K., Zhang, W-K. (2004) 'A combining condition prediction model and its application in power plant', Proceedings of the 3rd International Conference on Machine Learning and Cybernetics, Shanghai, 26-29 August 2004.
18. Ertunc, H.M., Loparo, K.A. and Ocak, H. (2001) 'Tool wear condition monitoring in drilling operations using hidden markov models (HMMs)', International Journal of Machine Tools & Manufacturing, Vol. 41, pp.1363-1384. (Pubitemid 32303089)
19. Garcia, M.C., Sanz-Bobi, M.A. and del-Pico, J. (2006) 'SIMAP: intelligent system for predictive maintenance application to the health condition monitoring of a windturbine gearbox', Computer in Industry, Vol. 57, pp.552-568. (Pubitemid 44093747)
20. Gasmi, S., Love, C.E. and Kahle, W. (2003) 'A general repair, proportional-hazards, framework to model complex repairable systems', IEEE Transactions on Reliability, March, Vol. 52, No. 1.
21. Gebraeel, N., Lawley, M., Liu, R. and Parmeshwaran, V. (2004) 'Residual life predictions from vibration-based degradation signals: a neural network approach', IEEE Transactions on Industrial Electronics, Vol. 51, No. 3.
22. Gertsbakh, I.B. (1977) Models of Preventive Maintenance, North-Holland Publishing Company, New York, Oxford.
23. Gupta, A. and Lawsirirat, C. (2006) 'Strategically optimum maintenance of monitoring-enabled multi-component systems using continuous-time jump deterioration models', Journal of Quality in Maintenance Engineering, Vol. 12, No. 3, pp.306-329. (Pubitemid 44200064)
24. Hameed, Z., Hong, Y.S., Cho, Y.M., Ahn, S.H. and Song, C.K. (2009) 'Condition monitoring and fault detection of wind turbines and related algorithms: a review', Renewable and Sustainable Energy Review, Vol. 13, pp.1-39.
25. Han, Y. and Song, Y.H. (2003) 'Condition monitoring techniques for electrical equipment: a literature survey', IEEE Transactions on Power Delivery, January, Vol. 18, No. 1, pp.4-13.
26. Heng, A., Tan, A.C.C., Mathew, J., Montgomery, N., Banjevic, D. and Jardine, A.K.S. (2009a) 'Intelligent condition-based prediction of machinery reliability', Mechanical Systems and Signal Processing, Vol. 23, pp.1600-1614.
27. Heng, A., Zhang, S., Tan, A.C.C. and Mathew, J. (2009b) 'Rotating machinery prognostics: state of the art, challenges and opportunities', Mechanical System and Signal Processing, Vol. 23, pp.724-739.
28. Herzog, M.A., Marwala, T. and Heyns, P.S. (2009) 'Machine and component residual life estimation through the application of neural networks', Reliability Engineering and System Safety, Vol. 94, pp.479-489.
29. Ho, S.L., Xie, M. and Goh, T.N. (2002) 'A comparative study of neural network and box-Jenkin ARIMA modelling in time series prediction', Computer Industrial Engineering, Vol. 42, pp.371-375. (Pubitemid 34410764)
30. Hou, S. and Li, Y. (2009) 'Short-term fault prediction based on support vector machines with parameter optimization by evolution strategy', Expert System Application, Vol. 36, No. 10, pp.12383-12391.
31. Hsu, B-M. and Shu, M-H. (2010) 'Reliability assessment and replacement for machine tools under wear deterioration', International Journal of Advances Manufacturing Technology, Vol. 48, pp.355-365.
32. Huang, R., Xi, L., Li, X., Liu, C.R., Qiu, H. and Lee, J. (2007) 'Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods', Mechanical System and Signal Processing, Vol. 21, pp.193-207. (Pubitemid 44550081)
33. Jantunen, E. (2003) 'Prognosis of wear progress based on regression analysis of condition monitoring parameters', Tribologia, Vol. 22, No. 4, pp.3-15. (Pubitemid 38587184)
34. Jardine, A.K.S., Banjevic, D. and Markis, V. (1997) 'Optimal replacement policy and the structure of software for condition-based maintenance', Journal of Quality in Maintenance Engineering, Vol. 3, No. 2, pp.109-119.
35. Jardine, A.K.S., Banjevic, D., Wiseman, M., Buck, S. and Joseph, T. (2001) 'Optimizing a mine haul truck whell motors' condition monitoring program: use of proportional hazard modelling', Journal of Quality in Maintenance Engineering, Vol. 7 No. 4, pp.286-301. (Pubitemid 33039049)
36. Jardine, A.K.S., Joseph, T. and Banjevic, D. (1999) 'Optimizing condition-based maintenance decisions for equipment subject to vibration monitoring', Journal of Quality in Maintenance Engineering, Vol. 5 No. 3, pp.192-202.
37. Jardine, A.K.S., Lin, D. and Banjevic, D. (2006) 'A review on machinery diagnostics and prognostics implementing condition-based maintenance', Mechanical System and Signal Process, Vol. 20, pp.1483-1510.
38. Jardine, A.K.S., Makis, V., Banjevic, D., Braticevic, D. and Ennis, M. (1998) 'A decision optimization model for condition-based maintenance', Journal of Quality in Maintenance Engineering, Vol. 4, No. 2, pp.115-121.
39. Jayaswal, P., Wadhwani, A.K. and Mulchandani, K.B. (2008) 'Machine fault signature analysis', International Journal of Rotating Machinery, Vol. 2008, pp.1-10, doi:10.1155/2008/583982.
40. Jeong, I-J., Leon, V.J. and Villalobos, J.R. (2007) 'Integrated decision-support system for diagnosis, maintenance planning, and scheduling of manufacturing systems', International Journal of Production Research, Vol. 45, No. 2, pp.267-285.
41. Kim, H-E., Tan, A.C.C., Mathew, J., Kim, E.Y.H. and Choi, B-K. (2008) 'Machine prognostics based on health state estimation using SVM', Proceedings 3rd World Congress on Engineering Asset Management and Intelligent Maintenance Systems Conference (199), pp.834-845, Beijing China.
42. Kohonen, T. (1995) Self-Organizing Maps, Springer.
43. Kothamasu, R., Huang, S.H. and VerDuin, W.H. (2006) 'System health monitoring and prognostics: a review of current paradigms and practices', International Journal in Advances Manufacturing Technology, Vol. 28, pp.1012-1024.
44. Labib, A. (2004) 'A decision analysis model for maintenance policy selection using a CMMS', Journal of Quality in Maintenance Engineering, Vol. 10, No. 3, pp.191-202.
45. Lewis, S.A. and Edwards, T.G. (1997) 'Smart sensors and system health management tools for avionics and mechanical systems', 16th Digital Avionics System Conference, Irvine, C.A., USA.
46. Li, Y.G. and Nilkitsaranont, P. (2009) 'Gas turbine performance prognostic for condition-based maintenance', Application Energy, Vol. 86, pp.2152-2161.
47. Li, Z., Wub, Z., Hea, Y. and Fuleia, C. (2005) 'Hidden markov model-based fault diagnostics method in speed-up and speed-down process for rotating machinery', Mechanical System and Signal Processing, Vol. 19, pp.329-339.
48. Liao, H., Zhao, W. and Guo, H. (2006) 'Predicting remaining useful life of an individual unit using proportional hazards model and logistic regression model', Proceedings - Annual Reliability and Maintenance Symposium, No. 1677362, pp.127-132. (Pubitemid 46900256)
49. Lin, D., Wiseman, M., Banjevic, D. and Jardine, A.K.S. (2004) 'An approach to signal processing and condition-based maintenance for gearboxes subject to tooth failure', Mechanical System and Signal Processing, Vol. 18, pp.993-1007.
50. Liu, J., Wang, W. and Golnaraghi, F. (2009) 'A multi-step predictor with a variable input pattern for system state forecasting', Mechanical System and Signal Processing, Vol. 23, pp.1586-1599.
51. Lofsten, H. (1999) 'Management of industrial maintenance - economic evaluation of maintenance policies', International Journal of Operation and Production Management, Vol. 19, No. 7, pp.716-737. (Pubitemid 39026007)
52. Lu, S., Tu, Y-C. and Lu, H. (2007) 'Predictive condition-based maintenance for continuously deteriorating systems', Quality Reliability Engineering International, Vol. 23, pp.71-81. (Pubitemid 46278028)
53. Lugtigheid, D., Banjevic, D. and Jardine, A.K.S. (2004) 'Modelling repairable system reliability with explanatory variables and repair and maintenance actions', IMA Journal Management Mathematics, Vol. 15, pp.89-110.
54. Lugtigheid, D., Banjevic, D. and Jardine, A.K.S. (2005) 'Component repairs: when to perform and what to do?', Proceedings - Annual Reliability and Maintenance Symposium, No. 11D1, pp.398-403.
55. Lugtigheid, D., Banjevic, D. and Jardine, A.K.S. (2008) 'System repairs: when to perform and what to do?', Reliability Engineering and System Safety, Vol. 93, pp.604-615. (Pubitemid 350235205)
56. Makis, V., Wu, J. and Gao, Y. (2006) 'An application of DPCA to oil data for CBM modelling', European Journal of Operational Research, Vol. 174, pp.112-123. (Pubitemid 44866845)
57. Mann, L., Saxena, A. and Knapp, G.M. (1995) 'Statistical-based or condition-based preventive maintenance?', Journal of Quality in Maintenance Engineering, Vol. 1, No. 1, pp.46-59.
58. Miao, Q. and Makis, V. (2007) 'Condition monitoring and classification of rotating machinery using wavelets and hidden Markov models', Mechanical System and Signal Processing, Vol. 21, pp.840-855. (Pubitemid 44667416)
59. Nakagawa, T. (1984) 'Optimal policy of continuous and discrete replacement with minimal repair at failure', Naval Research Logistic, Vol. 31, No. 4, pp.543-50. (Pubitemid 15421591)
60. Niu, G. and Yang, B-S. (2009) 'Dempster-Shafer regression for multi-step-ahead time-series prediction towards data-driven machinery prognosis', Mechanical System and Signal Processing, Vol. 23, pp.740-751.
61. Ocak, H. and Loparo, K.A. (2005) 'HMM-based fault detection and diagnosis scheme for rolling element bearings1', Journal of Vibration and Acoustics, Vol. 127, pp.299-306. (Pubitemid 41263726)
62. Oke, S.A. (2004) 'Condition based maintenance: status and future directions', SA Journal of Industrial Engineering, Vol. 15, No. 2, pp.27-43.
63. Peng, Y. and Dong, M. (2010) 'A prognosis method using age-dependent hidden semi-Markov model for equipment health prediction', Mechanical Systems and Signal Processing, doi:10.1016/j.ymssp.2010.04.002.
64. Percy, D.F. and Alkali, B.M. (2007) 'Scheduling preventive maintenance for oil pumps using generalized proportional intensities models', International Transaction in Operational Research, Vol. 14, pp.547-563.
65. Percy, D.F., Kobbacy, K.A.H. and Ascher, H.E. (1998) 'Using proportional-intensities models to schedule preventive-maintenance intervals', IMA Journal of Mathematics Application in Business Industry, Vol. 9, pp.289-302.
66. Pham, H.T. and Yang, B-S. (2010) 'Estimation and forecasting of machine health condition using ARMA/GARCH model', Mechanical System and Signal Processing, Vol. 24, pp.546-558.
67. Prasad, P.V.N. and Rao, K.R.M. (2002) 'Reliability models of repairable systems considering the effect of operating conditions', Proceedings of the Annual Reliability Maintenance Symposium, pp.503-510. (Pubitemid 34236589)
68. Qiu, H., Lee, J., Lin, J. and Yu, G. (2003) 'Robust performance degradation assessment methods for enhanced rolling element bearing prognostics', Advanced Engineering Informatics, Vol. 17, pp.127-140.
69. Rao, B.K.N. (1996) 'The need for condition monitoring and maintenance management in industries', Handbook of Condition Monitoring, Elsevier, Amsterdam, pp.1-36.
70. Satish, B. and Sarma, N.D.R. (2005) 'A fuzzy BP approach for diagnosis and prognosis of bearing faults in induction motors', In IEEE Power Engineering Society General Meeting, pp.2291-2294, IEEE, California. (Pubitemid 41497320)
71. Schwabacher, M. and Goebel, K. (2007) 'A survey of artificial intelligence for prognostics', Working Notes of 2007 AAAI Fall Symposium: AI for Prognostics.
72. Shao, Y. and Nezu, K. (2000) 'Prognosis of remaining bearing life using neural network', Proceedings of the Institution of Mechanical Engineers Part I: Journal of System and Control Engineering, Vol. 214, No. 3, pp.217-230.
73. Sheu, S., Griffith, W.S. and Nakagawa, T. (1995) 'Extended optimal replacement model with random minimal repair costs', European Journal of Operation Research, Vol. 85, No. 3, pp.636-49.
74. Sinha, B.K. (2002) 'Trend prediction from steam turbine responses of vibration and eccentricity', Proceeding Institution Mechanical Engineers, Vol. 216 Part A: Journal of Power and Energy.
75. Tran, V.T., Yang, B.S. and Tan, A.C.C. (2009) 'Multi-step ahead direct prediction for the machine condition prognosis using regression trees and neuro-fuzzy systems', Expert System Application, Vol. 36, pp.9378-9387.
76. Tran, V.Y., Yang, B-S., Oh, M-S. and Tan, A.C.C. (2008) 'Machine condition prognosis based on regression trees and one-step-ahead prediction', Mechanical System and Signal Processing, Vol. 22, pp.1179-1193.
77. Tsang, A.H.C., Yeung, W.K., Jardine, A.K.S. and Leung, B.P.K. (2006) 'Data management for CBM optimization', Journal of Quality in Maintenance Engineering, Vol. 12, No. 1, pp.37-51.
78. Tse, P.W. and Atherton, D.P. (1999) 'Prediction of machine deterioration using vibration based fault trends and recurrent neural networks', Journal of Vibration and Acoustics, Transactions of the ASME, July, Vol. 121, pp.355-362.
79. Vachtsevanos, G., Lewis, F., Roemer, M., Hess, A. and Wu, B. (2006) Intelligent Fault Diagnosis and Prognosis for Engineering Systems, Wiley, USA.
80. Vapnik, V. (2000) Nature of Statistics Learning Theory, Springer-Verlag, New York.
81. Vlok, P.J., Coetzee, J.L., Banjevic, D., Jardine, A.K.S. and Makis, V. (2002) 'Optimal component replacement decisions using vibration monitoring and the proportional-hazards model', The Journal of the Operational Research Society, February, Part Special Issue: The Process of OR, Vol. 53, No. 2, pp.193-202. (Pubitemid 34473509)
82. Vlok, P-J., Wnek, M. and Zygmunt, M. (2004) 'Utilising statistical residual life estimates of bearings to quantify the influence of preventive maintenance actions', Mechanical System and Signal Processing, Vol. 18, pp.833-847.
83. Wang, L., Mehrabi, M.G. and Kannatey-Asibu, E. Jr. (2002) 'Hidden markov model-based tool wear monitoring in turning', Journal of Manufacturing Science Engineering, Vol. 124, No. 3, pp.651-659.
84. Wang, W. (2006a) 'A prognosis model for wear prediction based on oil-based monitoring', Journal of the Operational Research Society, Vol. 58, pp.887-893.
85. Wang, W. (2006b) 'Modelling the probability assessment of system state prognosis using available condition monitoring information', IMA Journal of Management Mathematics, Vol. 17, pp.225-233. (Pubitemid 43982064)
86. Wang, W. (2007) 'A two-stage prognosis model in condition based maintenance', European Journal of Operational Research, Vol. 182, pp.1177-1187. (Pubitemid 46729624)
87. Wang, W. and Carr, M. (2010) 'A stochastic filtering based data driven approach for residual life prediction and condition based maintenance decision making support', Prognostics and Health Management Conference, 17 February, Macao.
88. Wang, W. and Hussin, B. (2009) 'Plant residual time modelling based observed variables in oil samples', Journal of the Operational Research Society, Vol. 60, pp.789-796.
89. Wang, W. and Men, C.Q. (2008) 'Online prediction model based on support vector machine', Neurocomputing, Vol. 71, pp.550-558. (Pubitemid 351187492)
90. Wang, W. and Zhang, W. (2005) 'A model to predict the residual life of aircraft engines based upon oil analysis data', Naval Research Logistics, Vol. 52, No. 3, pp.276-284. (Pubitemid 40540171)
91. Wang, W.Q., Golnaraghi, M.F. and Ismail, F. (2004) 'Prognosis of machine health condition using neuro-fuzzy systems', Mechanical System and Signal Processing, Vol. 18, pp.813-831.
92. Widodo, A. and Yang, B-S. (2007) 'Support vector machine in machine condition monitoring and fault diagnosis', Mechanical System and Signal Processing, Vol. 21, pp.2560-2574. (Pubitemid 46829756)
93. Wu, F., Wang, T. and Lee, J. (2010) 'An online adaptive condition-based maintenance method for mechanical systems', Mechanical Systems and Signal Processing, Vol. 24, pp.2985-2995.
94. Wu, W., Hu, J. and Zhang, J. (2007) 'Prognostics of machine health condition using an improved ARIMA-based prediction method', ICIEA 2007: 2007 Second IEEE Conference Industrial Electronic Application, No. 4318571, pp.1062-1067. (Pubitemid 47565902)
95. Xia, L-H., Liu, H-T., Zhao, M. and Wang, H-D. (2009) 'Study on the remaining usage life prediction of equipment and condition based maintenance decision', Proceedings of the 8th International Conference on Machine Learning and Cybernetics, 12-15 July, Baoding.
96. Xie, M., Goh, T.N., Wiklund, H. and Tang, X.Y. (2000) 'Statistical monitoring and control of tool wear processes', International Journal of Reliability, Quality and Safety Engineering, Vol. 7, No. 4, pp.331-340.
97. Xu, K., Xie, M., Tang, L.C. and Ho, S.L. (2003) 'Application of neural networks in forecasting engine systems reliability', Application Software Computers, Vol. 2, pp.205-68.
98. Yam, R., Tse, P., Li, L. and Tu, P. (2001) 'Intelligent predictive decision support system for condition-based maintenance', International Journal in Advances Manufacturing Technology, Vol. 17, No. 5, pp.383-391. (Pubitemid 32914802)
99. Yan, J., Koc, M. and Lee, J. (2004) 'A prognostic algorithm for machine performance assessment and its application', Production Planning and Control, Vol. 15, pp.796-801.
100. Zhang, S. and Ganesan, R. (1997) 'Multivariable trend analysis using neural networks for intelligent diagnostics of rotating machinery', Transactions of the ASME. Journal of Engineering Gas Turbine Power, Vol. 119, pp.378-384. (Pubitemid 127573082)