Fault Diagnosis and Prediction of Hybrid System Based on Particle Filter Algorithm

被引：0
作者：
Liu Yutian [1 ]
Jiang Jingping [2 ]
机构：
[1] Zhejiang Wanli Univ, Elect & Informat Engn Dept, Ningbo 315100, Zhejiang, Peoples R China
[2] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China
来源：
2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6 | 2008年
关键词：
hybrid system; fault diagnosis; fault prediction; particle filter;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Hybrid system consists of discrete and continuous state. Fault diagnosis and prediction of hybrid system is a new and critical issue in hybrid system study. Utilizing the advantage of particle filter, which can estimate the discrete and continuous states simultaneously, a new method for fault diagnosing and predicting of hybrid system is proposed. After giving the design steps of particle filter based fault diagnosis and prediction, we discuss the application of the method to the mobile robot fault diagnosis and prediction system. The simulation results show the effectiveness of the proposed approach.
引用
收藏
页码：1491 / +
页数：2
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