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Mathematical Problems in Engineering
Volume 2014, Article ID 142795, 15 pages
http://dx.doi.org/10.1155/2014/142795
Research Article

Intelligent Mechanical Fault Diagnosis Based on Multiwavelet Adaptive Threshold Denoising and MPSO

1School of Mechanical Engineering, Jiangnan University, 1800 Li Hu Avenue, Wuxi, Jiangsu 214122, China
2Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, Wuxi 214122, China
3School of Mechanical & Electrical Engineering, Beijing University of Chemical Technology, Chaoyang District, Beijing 100029, China
4Graduate School of Bioresources, Mie University, Mie 514-8507, Japan

Received 16 April 2014; Revised 12 June 2014; Accepted 29 June 2014; Published 22 July 2014

Academic Editor: Weihua Li

Copyright © 2014 Hao Sun et al. 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

Hao Sun, Ke Li, Huaqing Wang, Peng Chen, and Yi Cao, “Intelligent Mechanical Fault Diagnosis Based on Multiwavelet Adaptive Threshold Denoising and MPSO,” Mathematical Problems in Engineering, vol. 2014, Article ID 142795, 15 pages, 2014. https://doi.org/10.1155/2014/142795.