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Journal of Sensors
Volume 2016 (2016), Article ID 9693651, 9 pages
http://dx.doi.org/10.1155/2016/9693651
Research Article

A Wavelet Based Multiscale Weighted Permutation Entropy Method for Sensor Fault Feature Extraction and Identification

College of Information Science & Technology, Beijing University of Chemical Technology, Beijing City Chaoyang District North Third Ring Road 15, Beijing 100029, China

Received 20 February 2016; Revised 5 May 2016; Accepted 8 May 2016

Academic Editor: Fanli Meng

Copyright © 2016 Qiaoning Yang and Jianlin Wang. 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.

How to Cite this Article

Qiaoning Yang and Jianlin Wang, “A Wavelet Based Multiscale Weighted Permutation Entropy Method for Sensor Fault Feature Extraction and Identification,” Journal of Sensors, vol. 2016, Article ID 9693651, 9 pages, 2016. doi:10.1155/2016/9693651