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Fault diagnosis of particle filter nonlinear systems based on adaptive threshold
Jiang, Dongnian1,2; Li, Wei1,2
刊名Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
2016-10-01
卷号42期号:10页码:2099-2106
关键词Alarm systems Electric fault currents Errors Failure analysis Fault slips Monte Carlo methods Nonlinear systems Normal distribution Systems engineering Adaptive threshold method Adaptive thresholds Continuous stirred tank reactor False alarm ratio Miss alarm ratio Non-linear non-Gaussian Particle filter Statistical properties
ISSN号10015965
DOI10.13700/j.bh.1001-5965.2015.0611
英文摘要In view of the problem of actual nonlinear system that the traditional method is difficult to obtain reliable fault diagnosis, this paper uses the particle filter method and applies the logarithm likelihood function as evaluation index to study the nonlinear non-Gaussian system fault detection and fault isolation with the aid of adaptive threshold design. The selection of threshold value is the criterion for accurately judging system failure. This paper analyzes the statistical properties of residual error, determines the residual error statistical property of normal distribution, and designs an adaptive threshold method based on particle filter fault diagnosis, which reduce the miss alarm and false alarm ratios of fault diagnosis. Through the simulation example of non-constant temperature continuous stirred tank reactor, the accuracy and feasibility of this method in fault diagnosis are verified. © 2016, Editorial Board of JBUAA. All right reserved.
语种中文
出版者Beijing University of Aeronautics and Astronautics (BUAA)
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/112464]  
专题电气工程与信息工程学院
作者单位1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China;
2.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式
GB/T 7714
Jiang, Dongnian,Li, Wei. Fault diagnosis of particle filter nonlinear systems based on adaptive threshold[J]. Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics,2016,42(10):2099-2106.
APA Jiang, Dongnian,&Li, Wei.(2016).Fault diagnosis of particle filter nonlinear systems based on adaptive threshold.Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics,42(10),2099-2106.
MLA Jiang, Dongnian,et al."Fault diagnosis of particle filter nonlinear systems based on adaptive threshold".Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics 42.10(2016):2099-2106.
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