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Journal of Control Science and Engineering
Volume 2017, Article ID 2697297, 8 pages
Research Article

Fault Diagnosis Method Based on Information Entropy and Relative Principal Component Analysis

School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China

Correspondence should be addressed to Chenglin Wen; nc.ude.udh@lcnew

Received 19 December 2016; Accepted 22 January 2017; Published 20 February 2017

Academic Editor: Xiao He

Copyright © 2017 Xiaoming Xu and Chenglin Wen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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