Paper Title:
Fault Diagnosis Technology for Power Electronics Rectifier Based on Wavelet Packet
  Abstract

The paper presents on power electronics controlled rectifier faults diagnose technology based on the combination wavelet packet transformation and neural network mainly. By using the character of wavelet packet multiresolution, fault signal is decomposed at multi-scale, orthogonalation and normalization, extract feature vector, which as training input of neural network, and design classifier of fault pattern. The validity and feasibility of the fault diagnosis method is demonstrated by simulation. this method can quite accurately diagnosis fault and define fault element for power electronics controlled rectifier, and the diagnosis precision is high, the method has very good practical value and apply future on solving power electronics controlled rectifier fault diagnosis.

  Info
Periodical
Advanced Materials Research (Volumes 317-319)
Chapter
Measure Control Technologies and Intelligent Systems
Edited by
Xin Chen
Pages
1215-1218
DOI
10.4028/www.scientific.net/AMR.317-319.1215
Citation
Q. Hu, R. J. Wang, L. S. Lin, "Fault Diagnosis Technology for Power Electronics Rectifier Based on Wavelet Packet", Advanced Materials Research, Vols. 317-319, pp. 1215-1218, 2011
Online since
August 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: Hong Bin Tang, Yun Xin Wu, Chang Xun Ma
Abstract:Inner leakage of hydraulic cylinder is a very serious failure in the hydraulic system and it can lead to many problems.A important fault...
2517
Authors: Zheng Yao, Zhao Hua Wang
Abstract:Fault diagnosis has been the research hotspot in the industry fields, but, with the gradual complication in modern industry equipments and...
1310
Authors: Wen Jie Wu, Da Gui Huang, Zheng Dong
Abstract:This paper describes a support vector machine(SVM) approach to improve the test validity and accuracy for Aero-engine fault diagnosis. A new...
811
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: Li Jie Sun, Li Zhang, Yong Bo Yang, Da Bo Zhang, Li Chun Wu
Chapter 5: Control and Detection Technology
Abstract:Mechanical equipment fault diagnosis occupies an important position in the industrial production, and feature extraction plays an important...
993