NDLI: Fault detection and diagnosis for general stochastic systems using B-spline expansions and nonlinear filters

Content Provider	IEEE Xplore Digital Library
Author	Lei Guo Hong Wang
Copyright Year	2004
Abstract	This paper presents a new fault detection and diagnosis (FDD) algorithm for general stochastic systems. Different from the classical FDD design, the distribution of system output is supposed to be measured rather than the output signal itself. The task of such an FDD algorithm design is to use the measured output probability density functions (PDFs) and the input of the system to construct a stable filter-based residual generator such that the fault can be detected and diagnosed. For this purpose, square root B-spline expansions are applied to model the output PDFs and the concerned problem is transformed into a nonlinear FDD algorithm design subjected to a nonlinear weight dynamical system. A linear matrix inequality based solution is presented such that the estimation error system is stable and the fault can be detected through a threshold. Moreover, an adaptive fault diagnosis method is also provided to estimate the size of the fault. Simulations are provided to show the efficiency of the proposed approach.
Sponsorship	IEEE Circuits and Systems Society
Starting Page	1644
Ending Page	1652
Page Count	9
File Size	681581
File Format	PDF
ISSN	15498328
Volume Number	52
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault detection Fault diagnosis Stochastic systems Spline Nonlinear filters Algorithm design and analysis Signal design Density measurement Probability density function Linear matrix inequalities probability density functions (PDFs) B-spline expansion fault detection and diagnosis (FDD) filter design linear matrix inequality (LMI) nonlinear stochastic systems
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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