January 1, 2001

Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems

PLPing LiUnited States Department of Transportation VKVisakan KadirkamanathanUniversity of Sheffield

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Abstract

This paper presents the development of a particle filtering (PF) based method for fault detection and isolation (FDI) in stochastic nonlinear dynamic systems. The FDI problem is formulated in the multiple model (MM) environment, then by combining the likelihood ratio (LR) test with the PF, a new FDI scheme is developed. The simulation results on a highly nonlinear system are provided which demonstrate the effectiveness of the proposed method.

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Li et al. (Mon,) studied this question.

synapsesocial.com/papers/6a6fecc975498292b7094df3 https://doi.org/https://doi.org/10.1109/5326.971661

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