期刊
ISA TRANSACTIONS
卷 68, 期 -, 页码 327-334出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2017.03.018
关键词
Fault detection; Fault prediction; Nonlinear stochastic system; Incipient fault; Particle filter; Nonlinear regression
资金
- National Natural Science Foundation of China [61473127]
This paper is concerned with the fault prediction for the nonlinear stochastic system with incipient faults. Based on the particle filter and the reasonable assumption about the incipient faults, the modified fault estimation algorithm is proposed, and the system state is estimated simultaneously. According to the modified fault estimation, an intuitive fault detection strategy is introduced. Once each of the incipient fault is detected, the parameters of which are identified by a nonlinear regression method. Then, based on the estimated parameters, the future fault signal can be predicted. Finally, the effectiveness of the proposed method is verified by the simulations of the Three-tank system. (C) 2017 ISA. Published by Elsevier Ltd. All rights reserved.
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