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FDI IN NONLINEAR STOCHASTIC SYSTEMS USING ADAPTIVE MONTE CARLO FILTERS AND LIKELIHOOD RATIO APPROACH
Ping Li* Visakan Kadirkamanathan*
* Department of Automatic Control and Systems Engineering,
The University of Sheffield, Sheffield, UK
In this paper, a new method for solving the fault detection and isolation (FDI) problem in general nonlinear stochastic systems is proposed. The proposed method is based on adaptive Monte Carlo filter and likelihood ratio approach. The simulation results on a highly nonlinear system are provided which demonstrate the effectiveness of the proposed method.
Keywords: Fault detection and isolation, Nonlinear systems, Stochastic systems, Monte Carlo filter, Likelihood ratio
Session slot T-Fr-M21: Posters of Mining, Power Systems and Fault Detection/Area code 7e : Fault Detection, Supervision and Safety of Technical Processes
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