Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2016, Article ID 5432648, 13 pages
http://dx.doi.org/10.1155/2016/5432648
Research Article

A Novel Method of Fault Diagnosis for Rolling Bearing Based on Dual Tree Complex Wavelet Packet Transform and Improved Multiscale Permutation Entropy

School of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding 071000, China

Received 8 February 2016; Accepted 7 April 2016

Academic Editor: Wen Chen

Copyright © 2016 Guiji Tang 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.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Haodong Yuan, Jin Chen, and Guangming Dong, “Bearing Fault Diagnosis Based on Improved Locality-Constrained Linear Coding and Adaptive PSO-Optimized SVM,” Mathematical Problems in Engineering, vol. 2017, pp. 1–16, 2017. View at Publisher · View at Google Scholar
  • Wei He, Yigang He, Bing Li, and Chaolong Zhang, “Analog Circuit Fault Diagnosis via Joint Cross-Wavelet Singular Entropy and Parametric t-SNE,” Entropy, vol. 20, no. 8, pp. 604, 2018. View at Publisher · View at Google Scholar
  • Xiaoan Yan, and Minping Jia, “A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing,” Neurocomputing, 2018. View at Publisher · View at Google Scholar
  • Xiaoan Yan, and Minping Jia, “Intelligent fault diagnosis of rotating machinery using improved multiscale dispersion entropy and mRMR feature selection,” Knowledge-Based Systems, 2018. View at Publisher · View at Google Scholar
  • Xiaolong Wang, Fucheng Zhou, Yuling He, and Yingjie Wu, “Weak fault diagnosis of rolling bearing under variable speed condition using IEWT-based enhanced envelope order spectrum,” Measurement Science and Technology, vol. 30, no. 3, pp. 035003, 2019. View at Publisher · View at Google Scholar
  • Xianzhi Wang, Shubin Si, Yu Wei, and Yongbo Li, “The Optimized Multi-Scale Permutation Entropy and Its Application in Compound Fault Diagnosis of Rotating Machinery,” Entropy, vol. 21, no. 2, pp. 170, 2019. View at Publisher · View at Google Scholar