NDLI: Fault detection and diagnosis for the non-Gaussian time-delayed stochastic distribution control system

Content Provider	IEEE Xplore Digital Library
Author	Lina Yao Bo Peng
Copyright Year	2012
Description	Author affiliation: School of Electrical Engineering, Zhengzhou University, 450001, Henan Province, China (Lina Yao; Bo Peng)
Abstract	Stochastic distribution control is a new branch of stochastic system control. The main feature of this system is that the system output is the output probability density function. The control goal of such stochastic distribution systems is to choose an input to make the output probability density function track a given probability density function. In practice, time delay may exist in the modeling, the data (or image) processing and transmission phases. The effectiveness of the fault detection and diagnosis will be reduced when time delay is not considered. In this paper, the rational square-root B-spline is used to approach the output probability density function. A fault diagnosis method based on the nonlinear adaptive observer is used to diagnose the fault of the nonlinear stochastic distribution system with state delay. Finally computer simulations are given to demonstrate the effectiveness of the proposed algorithm.
Starting Page	2988
Ending Page	2993
File Size	748093
Page Count	6
File Format	PDF
ISBN	9781467313971
e-ISBN	9781467313988
DOI	10.1109/WCICA.2012.6358383
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic processes Fault diagnosis Splines (mathematics) Mathematical model Stochastic systems Fault detection Observers fault diagnosis non-Gaussian stochastic distribution system rational square-root approximation time-delay
Content Type	Text
Resource Type	Article

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