Fault detection method based on data-driven residual evaluation strategy

doi:10.13195/j.kzyjc.2016.0706

	Fault detection method based on data-driven residual evaluation strategy
	Jiang, Dong-Nian 1,2; Li, Wei 1,2
刊名	Kongzhi yu Juece/Control and Decision
	2017-07-01
卷号	32 期号:7 页码:1181-1188
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
ISSN号	10010920
DOI	10.13195/j.kzyjc.2016.0706
英文摘要	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.
语种	中文
出版者	Northeast University
内容类型	期刊论文
源URL	[http://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.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou; 730050, China 2.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China;
推荐引用方式 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.