Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Bearing Fault Diagnosis

Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Bearing Fault Diagnosis

Numerous studies on fault diagnosis have been conducted in recent years because the timely and correct detection of machine fault effectively minimizes the damage resulting in the unexpected breakdown of machineries. The mathematical morphological analysis has been performed to denoise raw signal. H...

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Bibliographic Details
Main Authors:	Jun Shuai, Changqing Shen, Zhongkui Zhu
Format:	Article
Language:	English
Published:	Wiley 2017-01-01
Series:	International Journal of Rotating Machinery
Online Access:	http://dx.doi.org/10.1155/2017/2384184
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