Paper Title:
A Fault Predication Algorithm Based on Artificial Immune Particle Filter
  Abstract

Degeneracy problem is an inevitable result of sequential importance re-sampling (SIR) particle filter, and a mass of degenerated particles will influence the tracking ability of particle filter seriously. As a result, SIR particle filter based predication algorithm can’t predict system faults accurately. Artificial immune algorithm is characterized by a global ability to search for optimum, so it is introduced into the particle filter, named artificial immune particle filter (AIPF). Particles are regarded as antibodies in AIPF and particles with large weight aberrance and are cloned, and then the better particles are selected for states evaluation. A fault predication algorithm based on AIPF is proposed to improve the predication accuracy, and simulation results have demonstrated the feasibility of the proposed algorithm.

  Info
Periodical
Edited by
Ran Chen
Pages
3459-3463
DOI
10.4028/www.scientific.net/AMM.44-47.3459
Citation
Y. K. Qiao, Q. Zhang, J. S. Zhang, "A Fault Predication Algorithm Based on Artificial Immune Particle Filter", Applied Mechanics and Materials, Vols. 44-47, pp. 3459-3463, 2011
Online since
December 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: Hong Tang, Wen Bin Zheng
Chapter 9: Manufacturing Engineering and Simulation
Abstract:Particulate flow is commonly encountered in industries as well as in many other chemical and mechanical engineering applications. The...
2113
Authors: Zhen Hui Xu, Bao Quan Mao, Li Xu, Jun Yan Zhao
Chapter 5: Computer-Aided Design in Materials Engineering
Abstract:In order to improve the real-time character of missile radiator tracking and solve the predicting tracking problem when missile radiator...
1584
Authors: Hui Qin Sun, Zhi Hong Xue, Ke Jun Sun, Su Zhi Wang, Yun Du
Chapter 2: Manufacturing Technology
Abstract:BP neural network is currently the most widely used of neural network models in practical application in transformer fault diagnosis. BP...
789
Authors: Na Rui Bu, Run Shan Bai, Zhang Zhen Li, De Zhong Lin
Chapter 6: Vibration, Noise Analysis and Control
Abstract:Analysis of slope stability based on BP neural network, the analytical model of slope stability is built. Aiming at the defects that BP...
1263
Authors: Rui Ni Li, Xiao Yi Wang, Zai Wen Liu, Ji Ping Xu, Ling Bin Wang
Chapter 4: Waste Disposal and Recycling
Abstract:Various unusual conditions are likely to occur during sewage treatment process, which would lead to some consequences such as the decrease of...
622