Simultaneous-fault diagnosis of gas turbine generator systems using a pairwise-coupled probabilistic classifier

Mathematical Problems in Engineering

Volumn 2013, Issue , 2013, Pages

  Yang, Zhixin ^a   Wong, Pak Kin ^a   Vong, Chi Man ^a   Zhong, Jianhua ^a   Liang, Jiejunyi ^a  

^a UNIVERSITY OF MACAU   (Macao)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL INTELLIGENCE TECHNIQUES; DECISION THRESHOLD; FAULT DIAGNOSTIC SYSTEMS; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); PROBABILISTIC CLASSIFIERS; RELEVANCE VECTOR MACHINE; STATISTICAL FEATURES; WAVELET PACKET TRANSFORMS;

ARTIFICIAL INTELLIGENCE; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING;

FEATURE EXTRACTION;

EID: 84881450982     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2013/827128     Document Type: Article

References (34)

1. Ma C., Gu X., Wang Y., Fault diagnosis of power electronic system based on fault gradation and neural network group. Neurocomputing 2009 72 13-15 2909 2914 2-s2.0-78149404128 10.1016/j.neucom.2008.06.033
2. Yan C. F., Zhang H., A novel real-time fault diagnostic system for steam turbine generator set by using strata hierarchical artificial neural network. Energy and Power Engineering 2009 1 7 16
3. Rafiee J., Arvani F., Harifi A., Sadeghi M. H., Intelligent condition monitoring of a gearbox using artificial neural network. Mechanical Systems and Signal Processing 2007 21 4 1746 1754 2-s2.0-33846850208 10.1016/j.ymssp.2006. 08.005 (Pubitemid 46205109)
4. Wu J.-D., Chan J.-J., Faulted gear identification of a rotating machinery based on wavelet transform and artificial neural network. Expert Systems with Applications 2009 36 5 8862 8875 2-s2.0-60849131716 10.1016/j.eswa.2008.11.020
5. Yang B.-S., Han T., Hwang W.-W., Fault diagnosis of rotating machinery based on multi-class support vector machines. Journal of Mechanical Science and Technology 2005 19 3 846 859 2-s2.0-28744446722 (Pubitemid 41754848)
6. Widodo A., Yang B.-S., Han T., Combination of independent component analysis and support vector machines for intelligent faults diagnosis of induction motors. Expert Systems with Applications 2007 32 2 299 312 2-s2.0-33750481498 10.1016/j.eswa.2005.11.031 (Pubitemid 44647799)
7. Cheng J., Yu D., Tang J., Yang Y., Application of SVM and SVD technique based on EMD to the fault diagnosis of the rotating machinery. Shock and Vibration 2009 16 1 89 98 2-s2.0-57649230902 10.3233/SAV-2009-0457
8. Vong C. M., Wong P. K., Engine ignition signal diagnosis with wavelet packet transform and multi-class least squares support vector machines. Expert Systems with Applications 2011 38 7 8563 8570 2-s2.0-79952442620 10.1016/j.eswa.2011.01.058
9. Widodo A., Yang B.-S., Support vector machine in machine condition monitoring and fault diagnosis. Mechanical Systems and Signal Processing 2007 21 6 2560 2574 2-s2.0-34249661124 10.1016/j.ymssp.2006.12.007 (Pubitemid 46829756)
10. Samanta B., Gear fault detection using artificial neural networks and support vector machines with genetic algorithms. Mechanical Systems and Signal Processing 2004 18 3 625 644 2-s2.0-0942289503 10.1016/S0888-3270(03)00020-7
11. Abbasion S., Rafsanjani A., Farshidianfar A., Irani N., Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine. Mechanical Systems and Signal Processing 2007 21 7 2933 2945 2-s2.0-34548035641 10.1016/j.ymssp.2007.02.003 (Pubitemid 47284786)
12. Hu Q., He Z. J., Zhang Z. S., Zi Y. Y., Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble. Mechanical Systems and Signal Processing 2007 21 2 688 705 2-s2.0-33750503791 10.1016/j.ymssp.2006.01.007 (Pubitemid 44667414)
13. Widodo A., Yang B.-S., Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors. Expert Systems with Applications 2007 33 1 241 250 2-s2.0-33845623677 10.1016/j.eswa.2006.04. 020 (Pubitemid 44959934)
14. Watanabe K., Hirota S., Hou L., Himmelblau D. M., Diagnosis of multiple simultaneous fault via hierarchical artificial neural networks. AIChE Journal 1994 40 5 839 848 2-s2.0-0028427743
15. Eslamloueyan R., Designing a hierarchical neural network based on fuzzy clustering for fault diagnosis of the Tennessee-Eastman process. Applied Soft Computing Journal 2011 11 1 1407 1415 2-s2.0-77957925437 10.1016/j.asoc.2010.04. 012
16. Eslamloueyan R., Shahrokhi M., Bozorgmehri R., Multiple simultaneous fault diagnosis via hierarchical and single artificial neural networks. Scientia Iranica 2003 10 3 300 310 2-s2.0-0345304284 (Pubitemid 37453690)
17. Vong C.-M., Wong P.-K., Ip W.-F., Case-based expert system using wavelet packet transform and kernel-based feature manipulation for engine ignition system diagnosis. Engineering Applications of Artificial Intelligence 2011 24 7 1281 1294 2-s2.0-80052262780 10.1016/j.engappai.2011.07.002
18. Lei Y. G., He Z. J., Zi Y. Y., Chen X. F., New clustering algorithm-based fault diagnosis using compensation distance evaluation technique. Mechanical Systems and Signal Processing 2008 22 2 419 435 2-s2.0-36048939640 10.1016/j.ymssp.2007.07.013 (Pubitemid 350102765)
19. He Q. B., Kong F., Yan R., Subspace-based gearbox condition monitoring by kernel principal component analysis. Mechanical Systems and Signal Processing 2007 21 4 1755 1772 2-s2.0-33846798101 10.1016/j.ymssp.2006.07.014 (Pubitemid 46205104)
20. Huang C.-L., Wang C.-J., A GA-based feature selection and parameters optimizationfor support vector machines. Expert Systems with Applications 2006 31 2 231 240 2-s2.0-33748076461 10.1016/j.eswa.2005.09.024 (Pubitemid 44294444)
21. Ciarelli P. M., Oliveira E., Badue C., de Souza A. F., Multi-label text categorization using a probabilistic neural network. International Journal of Computer Information Systems and Industrial Management Application 2009 1 1 133 144
22. Refregier P., Vallet F., Probabilistic approach for multiclass classification with neural network. Proceedings of the International Conference on Artificial Networks 1991 1003 1007
23. Widodo A., Kim E. Y., Son J.-D., Yang B.-S., Tan A. C. C., Gu D.-S., Choi B.-K., Mathew J., Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine. Expert Systems with Applications 2009 36 3 7252 7261 2-s2.0-58749101018 10.1016/j.eswa.2008.09.033
24. Tipping M. E., Sparse Bayesian learning and relevance vector machine. Journal of Machine Learning Research 2001 1 3 211 244 MR1875838 ZBL0997.68109 2-s2.0-0001224048 10.1162/15324430152748236 (Pubitemid 33687203)
25. Wu T.-F., Lin C.-J., Weng R. C., Probability estimates for multi-class classification by pairwise coupling. Journal of Machine Learning Research 2004 5 975 1005 MR2248006
26. Abe S., Support Vector Machines for Pattern Classification 2010 2nd London, UK Springer Advances in Pattern Recognition 10.1007/978-1-84996-098-4 MR2841444
27. Vong C. M., Wong P. K., Ip W. F., Chiu C. C., Simultaneous fault diagnosis of automotive engine ignition systems using prior domain knowledge and relevance vector machine. Mathematical Problems in Engineering 2013 2013 19 974862 10.1155/2013/974862
28. Yélamos I., Graells M., Puigjaner L., Escudero G., Simultaneous fault diagnosis in chemical plants using a multilabel approach. AIChE Journal 2007 53 11 2871 2884 2-s2.0-35948929058 10.1002/aic.11313 (Pubitemid 350074580)
29. Alzate C., Suykens J. A. K., Multiway spectral clustering with out-of-sample extensions through weighted kernel PCA. IEEE Transactions on Pattern Analysis and Machine Intelligence 2010 32 2 335 347 2-s2.0-73849131792 10.1109/TPAMI.2008.292
30. Wong P.-K., Vong C.-M., Tam L.-M., Li K., Data preprocessing and modelling of electronically-controlled automotive engine power performance using kernel principal components analysis and least squares support vector machines. International Journal of Vehicle Systems Modelling and Testing 2008 3 4 312 330 2-s2.0-66349127610 10.1504/IJVSMT.2008.025406
31. Hastie T., Tibshirani R., Classification by pairwise coupling. The Annals of Statistics 1998 26 2 451 471 MR1626055 ZBL0932.62071 2-s2.0-0032355984
32. Vong C. M., Wong P. K., Ip W. F., A new framework of simultaneous-fault diagnosis for time-dependent patterns. IEEE Transactions on Industrial Electronics 2013 60 8 3372 3385
33. Baeza-Yates R., Ribeiro-Neto B., Modern Information Retrieval 1999 England, UK ACM Press, Addision-Wesley
34. Rijsbergen C. J. V., Information Retrieval 1979 London, UK Butterworths