Fault detection method based on data-driven residual evaluation strategy
Jiang, Dong-Nian1,2; Li, Wei1,2
2017-07-01
发表期刊Kongzhi yu Juece/Control and Decision
ISSN10010920
卷号32期号:7页码:1181-1188
摘要This paper proposes a fault detection method based on the residual evaluation strategy. On the basis of the system residual error data only, do not rely on the system analytical model for fault detection, a new theoretical basis is provided for fault detection based on the data-driven method for the complex system. In order to improve the accuracy of the system fault detection, the fault detection threshold is optimally designed on the basis of fault miss alarm ratio and false alarm ratio. And by detecting the possible failure of the excitation system in the vehicle power system, the accuracy and effectiveness of the proposed method is verified. © 2017, Editorial Office of Control and Decision. All right reserved.
关键词Computer simulation Control engineering Data driven Data-driven methods Detection threshold Evaluation strategies Excitation system Kullback Leibler divergence Residual evaluation System fault detection
DOI10.13195/j.kzyjc.2016.0706
收录类别EI
语种中文
出版者Northeast University
EI入藏号20173904217657
EI主题词Fault detection
EI分类号723.5 Computer Applications
来源库Compendex
分类代码723.5 Computer Applications
引用统计
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/114413
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
第一作者单位兰州理工大学
第一作者的第一单位兰州理工大学
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GB/T 7714
Jiang, Dong-Nian,Li, Wei. Fault detection method based on data-driven residual evaluation strategy[J]. Kongzhi yu Juece/Control and Decision,2017,32(7):1181-1188.
APA Jiang, Dong-Nian,&Li, Wei.(2017).Fault detection method based on data-driven residual evaluation strategy.Kongzhi yu Juece/Control and Decision,32(7),1181-1188.
MLA Jiang, Dong-Nian,et al."Fault detection method based on data-driven residual evaluation strategy".Kongzhi yu Juece/Control and Decision 32.7(2017):1181-1188.
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