Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 37, Issue 10, Pages 7200-7204Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2010.04.009
Keywords
Multiscale entropy; Wavelet transform; Induction motor; Fault detection
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Funding
- Ministry of Economic Affairs, Taiwan
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Misalignment of motor shaft (also manifesting as static eccentricity) is a common motor fault resulting from improper installation or damage of the machine components and their support structure. Spectrum analysis is generally used for online detection of such faults. This study presents a novel approach to discover features that distinguish the vibration signals of a normal motor from those of a misaligned one. These features are obtained from the difference of multiscale entropy of a signal, before and after the signal is denoised using wavelet transform. Experimental results show that classifiers based on these features obtain better and more stable accuracy rates than those based on frequency-related features. (C) 2010 Elsevier Ltd. All rights reserved.
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