title: Fault prediction for nonlinear stochastic system with incipient faults based on particle filter and nonlinear regression.
abstract: 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.
authors.affiliation: School of Automation, Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, PR China.
authors.forename: Bo
authors.initials: B
authors.lastname: Ding
authors.affiliation: School of Automation, Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, PR China. Electronic address: hjfang@mail.hust.edu.cn.
authors.forename: Huajing
authors.initials: H
authors.lastname: Fang
keywords: Fault detection; Fault prediction; Incipient fault; Nonlinear regression; Nonlinear stochastic system; Particle filter