An approach for mechanical fault classification based on generalized discriminant analysis

doi:10.1007/s11465-006-0022-2

Front. Mech. Eng.

2006, Vol. 1

Issue (3) : 292-298 https://doi.org/10.1007/s11465-006-0022-2

An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua¹, SHI Tie-lin², YANG Shu-zi²

1.College of Automotive Engineering, South China University of Technology, Guangzhou 510640, China; 2.School of Mechanical Science & Engingeering, Huazhong University of Science & Technology, Wuhan 430074, China;

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Abstract To deal with pattern classification of complicated mechanical faults, an approach to multi-faults classification based on generalized discriminant analysis is presented. Compared with linear discriminant analysis (LDA), generalized discriminant analysis (GDA), one of nonlinear discriminant analysis methods, is more suitable for classifying the linear non-separable problem. The connection and difference between KPCA (Kernel Principal Component Analysis) and GDA is discussed. KPCA is good at detection of machine abnormality while GDA performs well in multi-faults classification based on the collection of historical faults symptoms. When the proposed method is applied to air compressor condition classification and gear fault classification, an excellent performance in complicated multi-faults classification is presented.

Issue Date: 05 September 2006

Cite this article:

SHI Tie-lin,LI Wei-hua,YANG Shu-zi. An approach for mechanical fault classification based on generalized discriminant analysis[J]. Front. Mech. Eng., 2006, 1(3): 292-298.

URL:

https://academic.hep.com.cn/fme/EN/10.1007/s11465-006-0022-2
https://academic.hep.com.cn/fme/EN/Y2006/V1/I3/292

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