메뉴 건너뛰기




Volumn 38, Issue 2, 2013, Pages 615-627

Semi-supervised learning and condition fusion for fault diagnosis

Author keywords

Condition based maintenance (CBM); Conditions labeled mode; Fault diagnosis; Manifold regularization (MR); Semi supervised learning (SSL)

Indexed keywords

CONDITION-BASED MAINTENANCE; CONDITION-MONITORING DATA; CONDITIONS LABELED MODE; DIAGNOSIS AND PROGNOSIS; DIMENSIONALITY REDUCTION; MANIFOLD REGULARIZATION; SEMI-SUPERVISED LEARNING; SEMI-SUPERVISED LEARNING (SSL);

EID: 84878300180     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2013.03.008     Document Type: Article
Times cited : (45)

References (40)
  • 1
    • 34548035641 scopus 로고    scopus 로고
    • Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine
    • S. Abbasion, A. Rafsanjani, A. Farshidianfar, and N. Irani Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine Mech. Syst. Signal Process. 21 7 2007 2933 2945
    • (2007) Mech. Syst. Signal Process. , vol.21 , Issue.7 , pp. 2933-2945
    • Abbasion, S.1    Rafsanjani, A.2    Farshidianfar, A.3    Irani, N.4
  • 2
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • M. Belkin, and P. Niyogi Laplacian eigenmaps for dimensionality reduction and data representation Neural Comput. 15 6 2003 1373 1396
    • (2003) Neural Comput. , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 3
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization a geometric framework for learning from labeled and unlabeled examples
    • M. Belkin, P. Niyogi, and V. Sindhwani Manifold regularization a geometric framework for learning from labeled and unlabeled examples J. Mach. Learn. Res. 7 2006 2399 2434
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 5
    • 34247325197 scopus 로고    scopus 로고
    • Mechanical fault detection using fuzzy index fusion
    • T. Boutros, and M. Liang Mechanical fault detection using fuzzy index fusion Int. J. Mach. Tools Manuf. 47 11 2007 1702 1714
    • (2007) Int. J. Mach. Tools Manuf. , vol.47 , Issue.11 , pp. 1702-1714
    • Boutros, T.1    Liang, M.2
  • 6
    • 66249123625 scopus 로고    scopus 로고
    • Developing integrated solution offerings for remote diagnostics a comparative case study of two manufacturers
    • S.A. Brax, and K. Jonsson Developing integrated solution offerings for remote diagnostics a comparative case study of two manufacturers Int. J. Oper. Prod. Manag. 29 5 2009 539 560
    • (2009) Int. J. Oper. Prod. Manag. , vol.29 , Issue.5 , pp. 539-560
    • Brax, S.A.1    Jonsson, K.2
  • 7
    • 0034215428 scopus 로고    scopus 로고
    • Condition-based maintenance of machines using hidden Markov models
    • C. Bunks, D. Mccarthy, and T. Al-Ani Condition-based maintenance of machines using hidden Markov models Mech. Syst. Signal Process. 14 4 2000 597 612
    • (2000) Mech. Syst. Signal Process. , vol.14 , Issue.4 , pp. 597-612
    • Bunks, C.1    McCarthy, D.2    Al-Ani, T.3
  • 8
    • 56549109617 scopus 로고    scopus 로고
    • Development in the application of ICT in condition monitoring and maintenance
    • J. Campos Development in the application of ICT in condition monitoring and maintenance Comput. Ind. 60 1 2009 1 20
    • (2009) Comput. Ind. , vol.60 , Issue.1 , pp. 1-20
    • Campos, J.1
  • 9
    • 51949086172 scopus 로고    scopus 로고
    • Semi-supervised classification by low density separation
    • O. Chapelle, A. Zien, Semi-supervised classification by low density separation, in: AISTAT, 2005.
    • (2005) AISTAT
    • Chapelle, O.1    Zien, A.2
  • 10
    • 58049190180 scopus 로고    scopus 로고
    • Rotating machinery prognostics state of the art, challenges and opportunities
    • A. Heng, S. Zhang, A.C. Tan, and J. Mathew Rotating machinery prognostics state of the art, challenges and opportunities Mech. Syst. Signal Process. 23 3 2009 724 739
    • (2009) Mech. Syst. Signal Process. , vol.23 , Issue.3 , pp. 724-739
    • Heng, A.1    Zhang, S.2    Tan, A.C.3    Mathew, J.4
  • 11
    • 33750503791 scopus 로고    scopus 로고
    • Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble
    • Q. Hu, Z. He, Z. Zhang, and Y. Zi Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble Mech. Syst. Signal Process. 21 2 2007 688 705
    • (2007) Mech. Syst. Signal Process. , vol.21 , Issue.2 , pp. 688-705
    • Hu, Q.1    He, Z.2    Zhang, Z.3    Zi, Y.4
  • 12
    • 5044251650 scopus 로고    scopus 로고
    • Development of an e-diagnostics/maintenance framework for semiconductor factories with security considerations
    • Intelligent Maintenance Systems
    • M.-H. Hung, K.-Y. Chen, R.-W. Ho, and F.-T. Cheng Development of an e-diagnostics/maintenance framework for semiconductor factories with security considerations Adv. Eng. Inf. 17 3-4 2003 165 178 Intelligent Maintenance Systems
    • (2003) Adv. Eng. Inf. , vol.17 , Issue.34 , pp. 165-178
    • Hung, M.-H.1    Chen, K.-Y.2    Ho, R.-W.3    Cheng, F.-T.4
  • 14
    • 33646534620 scopus 로고    scopus 로고
    • A review on machinery diagnostics and prognostics implementing condition-based maintenance
    • A.K. Jardine, D. Lin, and D. Banjevic A review on machinery diagnostics and prognostics implementing condition-based maintenance Mech. Syst. Signal Process. 20 7 2006 1483 1510
    • (2006) Mech. Syst. Signal Process. , vol.20 , Issue.7 , pp. 1483-1510
    • Jardine, A.K.1    Lin, D.2    Banjevic, D.3
  • 15
    • 61349092950 scopus 로고    scopus 로고
    • Remote, condition-based maintenance for web-enabled robotic system
    • Y.J. Kwon, R. Chiou, and L. Stepansk Remote, condition-based maintenance for web-enabled robotic system Robotics Comput.-Integrated Manuf. 25 3 2009 552 559
    • (2009) Robotics Comput.-Integrated Manuf. , vol.25 , Issue.3 , pp. 552-559
    • Kwon, Y.J.1    Chiou, R.2    Stepansk, L.3
  • 16
    • 0030735906 scopus 로고    scopus 로고
    • Strategy and challenges on remote diagnostics and maintenance for manufacturing equipment
    • Annual
    • J. Lee, Strategy and challenges on remote diagnostics and maintenance for manufacturing equipment, in: Reliability and Maintainability Symposium, 1997 Proceedings, Annual, 1997, pp. 368-370.
    • (1997) Reliability and Maintainability Symposium, 1997 Proceedings , pp. 368-370
    • Lee, J.1
  • 17
    • 36048939640 scopus 로고    scopus 로고
    • New clustering algorithm-based fault diagnosis using compensation distance evaluation technique
    • Y. Lei, Z. He, Y. Zia, and X. Chen New clustering algorithm-based fault diagnosis using compensation distance evaluation technique Mech. Syst. Signal Process. 22 2 2008 419 435
    • (2008) Mech. Syst. Signal Process. , vol.22 , Issue.2 , pp. 419-435
    • Lei, Y.1    He, Z.2    Zia, Y.3    Chen, X.4
  • 18
    • 67651155773 scopus 로고    scopus 로고
    • Multiple manifolds analysis and its application to fault diagnosis
    • M. Li, J. Xu, J. Yang, D. Yang, and D. Wang Multiple manifolds analysis and its application to fault diagnosis Mech. Syst. Signal Process. 23 8 2009 2500 2509
    • (2009) Mech. Syst. Signal Process. , vol.23 , Issue.8 , pp. 2500-2509
    • Li, M.1    Xu, J.2    Yang, J.3    Yang, D.4    Wang, D.5
  • 19
    • 40949160574 scopus 로고    scopus 로고
    • On the concept of e-maintenance review and current research
    • A. Muller, A.C. Marquez, and B. Iung On the concept of e-maintenance review and current research Reliab. Eng. Syst. Saf. 93 8 2008 1165 1187
    • (2008) Reliab. Eng. Syst. Saf. , vol.93 , Issue.8 , pp. 1165-1187
    • Muller, A.1    Marquez, A.C.2    Iung, B.3
  • 20
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using em
    • K. Nigam, A.K. McCallum, S. Thrun, T. Mitchell, Text classification from labeled and unlabeled documents using EM, in: Machine Learning, 2000, pp. 103-134.
    • (2000) Machine Learning , pp. 103-134
    • Nigam, K.1    McCallum, A.K.2    Thrun, S.3    Mitchell, T.4
  • 21
    • 33845464729 scopus 로고    scopus 로고
    • Multi-agent decision fusion for motor fault diagnosis
    • G. Niu, T. Han, B.-S. Yang, and A.C.C. Tan Multi-agent decision fusion for motor fault diagnosis Mech. Syst. Signal Process. 21 3 2007 1285 1299
    • (2007) Mech. Syst. Signal Process. , vol.21 , Issue.3 , pp. 1285-1299
    • Niu, G.1    Han, T.2    Yang, B.-S.3    Tan, A.C.C.4
  • 23
    • 78349305506 scopus 로고    scopus 로고
    • A prognosis method using age-dependent hidden semi-Markov model for equipment health prediction
    • Y. Peng, and M. Dong A prognosis method using age-dependent hidden semi-Markov model for equipment health prediction Mech. Syst. Signal Process. 25 1 2011 237 252
    • (2011) Mech. Syst. Signal Process. , vol.25 , Issue.1 , pp. 237-252
    • Peng, Y.1    Dong, M.2
  • 25
    • 34249751601 scopus 로고    scopus 로고
    • Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert-Huang transform
    • V.K. Rai, and A.R. Mohanty Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert-Huang transform Mech. Syst. Signal Process. 21 6 2007 2607 2615
    • (2007) Mech. Syst. Signal Process. , vol.21 , Issue.6 , pp. 2607-2615
    • Rai, V.K.1    Mohanty, A.R.2
  • 27
    • 0032021497 scopus 로고    scopus 로고
    • Tool wear monitoring of turning operations by neural network and expert system classification of a feature set generated from multiple sensors
    • R. Silva, R. Reuben, K. Baker, and S. Wilcox Tool wear monitoring of turning operations by neural network and expert system classification of a feature set generated from multiple sensors Mech. Syst. Signal Process. 12 2 1998 319 332
    • (1998) Mech. Syst. Signal Process. , vol.12 , Issue.2 , pp. 319-332
    • Silva, R.1    Reuben, R.2    Baker, K.3    Wilcox, S.4
  • 29
    • 31844440904 scopus 로고    scopus 로고
    • Beyond the point cloud: From transductive to semi-supervised learning
    • New York, NY, USA
    • V. Sindhwani, P. Niyogi, M. Belkin, Beyond the point cloud: from transductive to semi-supervised learning, in: ICML '05, New York, NY, USA, 2005, pp. 824-831.
    • (2005) ICML '05 , pp. 824-831
    • Sindhwani, V.1    Niyogi, P.2    Belkin, M.3
  • 30
    • 70349296776 scopus 로고    scopus 로고
    • A Bayesian machine learning method for sensor selection and fusion with application to on-board fault diagnostics
    • N. Subrahmanya, Y.C. Shin, and P.H. Meckl A Bayesian machine learning method for sensor selection and fusion with application to on-board fault diagnostics Mech. Syst. Signal Process. 24 1 2010 182 192
    • (2010) Mech. Syst. Signal Process. , vol.24 , Issue.1 , pp. 182-192
    • Subrahmanya, N.1    Shin, Y.C.2    Meckl, P.H.3
  • 31
    • 0036681731 scopus 로고    scopus 로고
    • Rotating machine fault detection based on HOS and artificial neural networks
    • C.-C. Wang, and G.-P.J. Too Rotating machine fault detection based on HOS and artificial neural networks J. Intell. Manuf. 13 4 2002 283 293
    • (2002) J. Intell. Manuf. , vol.13 , Issue.4 , pp. 283-293
    • Wang, C.-C.1    Too, G.-P.J.2
  • 33
    • 34249661124 scopus 로고    scopus 로고
    • Support vector machine in machine condition monitoring and fault diagnosis
    • A. Widodo, B.-S. Yang, Support vector machine in machine condition monitoring and fault diagnosis, Mech. Syst. Signal Process. 21 (6) (2007) 2560-2574.
    • (2007) Mech. Syst. Signal Process. , vol.21 , Issue.6 , pp. 2560-2574
    • Widodo, A.1    Yang, B.-S.2
  • 35
    • 45849135179 scopus 로고    scopus 로고
    • A revised Hilbert-Huang transformation based on the neural networks and its application in vibration signal analysis of a deployable structure
    • J. Xun, and S. Yan A revised Hilbert-Huang transformation based on the neural networks and its application in vibration signal analysis of a deployable structure Mech. Syst. Signal Process. 22 7 2008 1705 1723
    • (2008) Mech. Syst. Signal Process. , vol.22 , Issue.7 , pp. 1705-1723
    • Xun, J.1    Yan, S.2
  • 36
    • 34047251505 scopus 로고    scopus 로고
    • Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs
    • L. Yaguo, H. Zhengjia, Z. Yanyang, and H. Qiao Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs Mech. Syst. Signal Process. 21 2007 2280 2294
    • (2007) Mech. Syst. Signal Process. , vol.21 , pp. 2280-2294
    • Yaguo, L.1    Zhengjia, H.2    Yanyang, Z.3    Qiao, H.4
  • 38
    • 84855890601 scopus 로고    scopus 로고
    • Leave-one-out manifold regularization
    • J. Yuan, X. Liu, and C.-L. Liu Leave-one-out manifold regularization Expert Syst. Appl. 39 5 2012 5317 5324
    • (2012) Expert Syst. Appl. , vol.39 , Issue.5 , pp. 5317-5324
    • Yuan, J.1    Liu, X.2    Liu, C.-L.3
  • 39
    • 30344483652 scopus 로고    scopus 로고
    • Improved on-line process fault diagnosis through information fusion in multiple neural networks
    • J. Zhang Improved on-line process fault diagnosis through information fusion in multiple neural networks Comput. Chem. Eng. 30 3 2006 558 571
    • (2006) Comput. Chem. Eng. , vol.30 , Issue.3 , pp. 558-571
    • Zhang, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.