NDLI: Rubbing Fault Diagnosis of Rotary Machinery Based on Wavelet and Support Vector Machine

Content Provider	IEEE Xplore Digital Library
Author	Jin Zhihao Ji Shangwei Jin Wen Wen Bangchun
Copyright Year	2009
Abstract	The diagnosis method of rubbing fault in rotary machinery was investigated by support vector machine combined with wavelet transform. The rubbing fault of a rotary machine was simulated with a rubbing-block. The decomposed signals at every level were continuous for the case without rubbing fault, while the decomposed signals were bursting signals at level 1, level 2 and level 3, and continuous signals at level 4, level 5 for the case with rubbing fault. The correct rate of test samples was more than 92%, which indicated that the method can be used to identify rubbing faults effectively. The complexity of the SVM model was decreased and the calculation was simplified by using wavelet transform.
Starting Page	287
Ending Page	290
File Size	365940
Page Count	4
File Format	PDF
ISBN	9780769536040
DOI	10.1109/DBTA.2009.163
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms fault diagnosis wavelet transform Machinery Mechanical engineering Chemical technology rubbing fault Fault diagnosis Support vector machines Learning systems support vector machine Support vector machine classification Feature extraction acoustic emission Kernel
Content Type	Text
Resource Type	Article

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Rubbing Fault Diagnosis of Rotary Machinery Based on Wavelet and Support Vector Machine