Paper Title:
Application of WAVELET-SVM in Fault Diagnosis for the UV Control System
  Abstract

Wavelet Analysis extracts the main feature from the fault signal through wavelet transformation, so it is advantageous to withdraw fault characteristic for fault diagnosis. Support Vector Machine (SVM) has shown its good classification performance in fault diagnosis. A new method of fault diagnosis for UV control system based on WAVELET-SVM is raised. The sensor output is sampled in frequency domain and it is preprocessed by wavelet to extract main vectors of the fault features. Fault patterns under various states are classified using multi-class SVM, and fault diagnosis is realized. The simulation results show that WAVELET-SVM is feasible to detect and locate faults quickly and exactly and has high robustness.

  Info
Periodical
Edited by
Zhenyu Du and Bin Liu
Pages
199-203
DOI
10.4028/www.scientific.net/AMM.65.199
Citation
S. W. Wang, X. H. Shi, H. Xu, Z. J. Tong, "Application of WAVELET-SVM in Fault Diagnosis for the UV Control System", Applied Mechanics and Materials, Vol. 65, pp. 199-203, 2011
Online since
June 2011
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: Yun Jie Xu
Abstract:Fault diagnosis of roller bearings is very complex, so it is difficult to use the mathematical model to describe their faults. Whose...
620
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: Yu Long Xu, Yong Mei Zhang
Chapter 5: Information Processing and Computational Science
Abstract:In this paper, a recognition method for multiple classifiers is proposed, which combines an improved eigenface method with Support Vector...
1075
Authors: Hang Cheng, Xi Li, Zheng Bo Qin, Chao Yong Huang
Chapter 5: Control and Detection Technology
Abstract:This paper has put forward one method, combining with theory of decision tree and method of voting, and established one kind of multi-failure...
1010
Authors: Ru Zhang
Chapter 6: Data Acquisition and Data Processing, Computational Techniques
Abstract:With the ceramics market's developing, the use of image processing and intelligent algorithm is applied to the ancient ceramics recognition...
1201