Multiscale morphology analysis and its application to fault diagnosis

Mechanical Systems and Signal Processing

Volumn 22, Issue 3, 2008, Pages 597-610

  Zhang, Lijun ^a   Xu, Jinwu ^a   Yang, Jianhong ^a   Yang, Debin ^a   Wang, Dadong ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^b CSIRO   (Australia)

Author keywords

Adaptive algorithm; Fault diagnosis; Morphology analysis; Multiscale; Roller bearing

Indexed keywords

ADAPTIVE ALGORITHMS; MORPHOLOGY; ONE DIMENSIONAL; SIGNAL ANALYSIS;

EMPIRICAL RULES; MORPHOLOGY ANALYSIS; ROLLER BEARING;

FAILURE ANALYSIS;

EID: 38349039525     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2007.09.010     Document Type: Article

References (18)

1. Serra J. Morphological filtering: an overview. Signal Processing 38 4 (1994) 3-11
2. I. Pitas, Morphological signal decomposition, in: Proceedings of the 1990 IEEE Conference on Acoustics, Speech, and Signal Processing, vol. 4, Albuquerque, USA, 1990, pp. 2169-2192.
3. Nikolaou N.G., and Antoniadis I.A. Application of morphological operators as envelope extractors for impulsive-type periodic signals. Mechanical Systems and Signal Processing 17 6 (2003) 1147-1162
4. Hu A., Tang G., and An L. De-noising technique for vibration signals of rotating machinery based on mathematical morphology filter. Chinese Journal of Mechanical Engineering 42 4 (2006) 127-130
5. Zhang L., Yang D., Xu J., et al. Approach to extracting gear fault feature based on mathematical morphological filtering. Chinese Journal of Mechanical Engineering 43 2 (2007) 71-75
6. Maragos P. Pattern spectrum and multiscale shape recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 11 7 (1989) 701-716
7. Wang J., Shu H., and Chen X. Multiscale morphology analysis of dynamic power quality disturbances. Proceedings of the CSEE 24 4 (2004) 63-67
8. Lin J., and Zuo M.J. Gearbox fault diagnosis using adaptive wavelet filter. Mechanical Systems and Signal Processing 17 6 (2003) 1259-1269
9. Jiang H., He Z., Duan C., et al. Gearbox fault diagnosis using adaptive redundant lifting scheme. Mechanical Systems and Signal Processing 20 8 (2006) 1992-2006
10. Cheng J., Yu D., and Yang Y. Application of an impulse response wavelet to fault diagnosis of roller bearings. Mechanical Systems and Signal Processing 21 2 (2007) 920-929
11. Serra J. Image Analysis and Mathematical Morphology (1982), Academic Press, New York, USA
12. Meyer F. Iterative image transformations for an automatic screening of cervical smears. Journal of Histochemistry and Cytochemistry 27 1 (1979) 128-135
13. Wang D., Zhou Y., and Gang T. Weld defect extraction based on adaptive morphology filtering and edge detection by wavelet analysis. Chinese Journal of Electronics 12 3 (2003) 335-339
14. K.A. Loparo, Bearings vibration data set, Case Western Reserve University 〈http://www.eecs.cwru.edu/laboratory/bearing/〉.
15. Yang H., Mathew J., and Ma L. Fault diagnosis of rolling element bearings using basic pursuit. Mechanical Systems and Signal Processing 19 2 (2005) 341-356
16. J. Zhang, Z. Huang, Kernel fisher discriminant analysis for bearing fault diagnosis, in: Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, vol. 5, Guangzhou, China, 2005, pp. 3216-3220.
17. Yang J., Zhang Y., and Zhu Y. Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension. Mechanical Systems and Signal Processing 21 5 (2007) 2012-2024
18. Abbasion S., Rafsanjani A., Farshidianfar A., et al. Rolling element bearings multi-fault classification based on the wavelet de-noising and support vector machine. Mechanical Systems and Signal Processing 21 7 (2007) 2933-2945