Particle Filtering Based Fault Prediction of Nonlinear Systems
نویسندگان
چکیده
Fault prediction is a new research area in FDD. It has both safety and economic benefits in technical systems by preventing future serious process fault and improving process maintenance schedules. But how to calculate the probability of fault prediction is still an open problem. This paper proposes a particle filtering (PF) based method to predict the future state’s distribution of nonlinear systems, thus the probability of fault prediction could be obtained. Copyright © 2003 IFAC
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