Paper Title:
Rolling Bearing Fault Diagnosis Based on Wavelet Packet Feature Entropy-MFSVM
  Abstract

On the basis of wavelet packet-characteristic entropy(WP-CE) and multiclass fuzzy support vector machine(MFSVM), the author proposes a new fault diagnosis method of vibrating of hearings,in which three layers wavelet packet decomposition of the acquired vibrating signals of hearings is performed and the wavelet packet-characteristic entropy is extracted,the eigenvector of wavelet packet of the vibrating signals is constructed,and taking this eigenvector as fault sample multiclass fuzzy support vector machine is trained to implement the intelligent fault diagnosis. The simulation result from the proposed method is effective and feasible.

  Info
Periodical
Advanced Materials Research (Volumes 121-122)
Edited by
Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo
Pages
813-818
DOI
10.4028/www.scientific.net/AMR.121-122.813
Citation
W. G. Zhao, L. Y. Wang, "Rolling Bearing Fault Diagnosis Based on Wavelet Packet Feature Entropy-MFSVM", Advanced Materials Research, Vols. 121-122, pp. 813-818, 2010
Online since
June 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Jin Ying Huang, Hong Xia Pan, Shi Hua Bi
Abstract:Fault feature extraction and application is the key technology of fault diagnosis. In this paper, a fault diagnosis method using bispectrum...
708
Authors: Xiao Yan Zhu, Xi Tian, Xiao Xun Zhu
Chapter 7: High Voltage and Insulation Technology
Abstract:The large rotating machinery functioning of the rotor is one of the most important issues. It has great significance to identify the fault...
1192
Authors: Ming Zhi Pan, Hong Xia Pan, Run Peng Zhao
Chapter 6: Frontiers of Mechanical Engineering (1)
Abstract:Online monitoring and fault diagnosis is an important link of guaranteeing the equipment smooth operation and reliable working, which...
3175
Authors: Shu Yan Zhao, Qi Wang
Chapter 1: Mechatronics Materials
Abstract:The sensor fault diagnosis method based on wavelet packet characteristic entropy and relevance vector machine are researched, which is used...
3
Authors: Wen Bin Zhang, Yan Ping Su, Yan Jie Zhou, Ya Song Pu
Chapter 7: Mechatronics, Measurements and Control
Abstract:In this paper, a novel method to recognize gear fault pattern was approached based on multi-scale morphological undecimated wavelet...
369