Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (1): 221-224.

• 可靠性 • 上一篇    下一篇

基于权值选优粒子滤波器的故障预测算法

张琪, 胡昌华, 乔玉坤, 蔡艳宁   

  1. 第二炮兵工程学院302教研室, 陕西, 西安, 710025
  • 收稿日期:2007-10-12 修回日期:2008-05-21 出版日期:2009-01-20 发布日期:2010-01-03
  • 作者简介:张琪(1980- ),女,博士研究生,主要研究方向为控制系统自动检测与故障诊断、故障预报等.E-mail:zhangqi6530@163.com
  • 基金资助:
    国家自然科学基金(60736026);教育部新世纪优秀人才支持计划资助课题

Fault prediction algorithm based on weight selected particle filter

ZHANG Qi, HU Chang-hua, QIAO Yu-kun, CAI Yan-ning   

  1. 302 Unit, The Second Artillery Engineering Inst., Xi’an 710025, China
  • Received:2007-10-12 Revised:2008-05-21 Online:2009-01-20 Published:2010-01-03

摘要: 样本贫化现象会严重影响再采样粒子滤波故障预测算法对故障的预测能力,是粒子滤波算法在故障预测应用中的一个主要障碍。针对上述问题,提出了一种基于权值选优粒子滤波器的故障预测算法。按照粒子权值的大小,从大量的粒子中选择出比较好的粒子用于滤波,以增加样本的多样性,从而缓解样本贫化问题,提高再采样粒子滤波故障预测算法的跟踪能力。仿真结果显示所提出的算法是可行的。

Abstract: The predicting ability of the fault prediction algorithm based on SIR particle filter will be badly influenced by sample impoverishment,which is one of the main disadvantages for the application of particle filter in fault prediction.A fault prediction algorithm based on weight selected particle filter is proposed to resolve the above problem.According to their weights,the better particles are selected from a vast amount of particles to improve the diversity of samples.As a result,the problem of sample impoverishment is ameliorated and the tracking ability of the fault prediction algorithm based on SIR particle filter is improved.Simulation results demonstrate that the fault prediction algorithm based on weight selected particle filter is feasible.

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