Observer-based fault detection and diagnosis for the nonlinear stochastic distribution systems

doi:10.3233/JCM-204487

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	Observer-based fault detection and diagnosis for the nonlinear stochastic distribution systems
	Yi, Qu 1,2
刊名	Journal of Computational Methods in Sciences and Engineering
	2021
卷号	21 期号:1 页码:213-221
关键词	Probability density function Probability distributions Rational functions Stochastic systems Adaptive tuning rules Convergence and stability Fault detection and diagnosis Observer-based fault detection and diagnosis Probability density functions (PDFs) Rational square roots Simulation example Stochastic distribution systems
ISSN号	1472-7978
DOI	10.3233/JCM-204487
英文摘要	Our work describe a novel fault detection and diagnosis (FDD) problem for nonlinear stochastic distribution systems (SDS) with the help of the system output probability density functions (PDFs), and it can be obtained by rational square-root B-spline expansion. A new nonlinear FDD method based on observer is given by drawing into the adaptive tuning rule, in order that the residual signal can be sensitive to the system fault. And then, for the fault system, convergence and stability have been implemented by the fault detection and diagnosis. A simulation examples is shown to validates the efficiency of the proposed method and expecting results have been gained. © 2021 - IOS Press. All rights reserved.
WOS研究方向	Engineering
语种	英语
出版者	IOS Press BV
WOS记录号	WOS:000642010900018
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/148387]
专题	兰州理工大学
作者单位	1.Xianyang Vocational Technical College, Xianyang, Shaanxi, China; 2.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, Gansu, China
推荐引用方式 GB/T 7714	Yi, Qu. Observer-based fault detection and diagnosis for the nonlinear stochastic distribution systems[J]. Journal of Computational Methods in Sciences and Engineering,2021,21(1):213-221.
APA	Yi, Qu.(2021).Observer-based fault detection and diagnosis for the nonlinear stochastic distribution systems.Journal of Computational Methods in Sciences and Engineering,21(1),213-221.
MLA	Yi, Qu."Observer-based fault detection and diagnosis for the nonlinear stochastic distribution systems".Journal of Computational Methods in Sciences and Engineering 21.1(2021):213-221.