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Fault diagnosis and prediction of hybrid system based on particle filter algorithm

Yutian Liu

发表年份
2008
引用次数
6

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.

关键词

Hybrid systemFault (geology)Particle filterComputer scienceFilter (signal processing)AlgorithmControl theory (sociology)Fault detection and isolationArtificial intelligenceMachine learning

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