Failure diagnosis and nonlinear observer. Application to a hydraulic process
type: Item
instance of: scholarly article
title: Failure diagnosis and nonlinear observer. Application to a hydraulic process
zbMATH Open document ID: 1021.93011
DOI: 10.1016/S0016-0032(02)00027-3
author: Yanyan Li
published in: Journal of the Franklin Institute
publication date: 2003-04-02T00:00:00Z
review text: Fault diagnosis is an issue of primary importance in modern process automation since it provides the basis for safe and reliable operation of complex engineering systems. Failure diagnosis consists of providing information on the time and location of faults occurring in supervised systems, and is naturally divided into fault detection and fault isolation. This paper addresses fault detection and isolation for nonlinear systems. The authors' approach is based on techniques of nonlinear disturbance decoupling and on the use of nonlinear observers. The authors give sufficient conditions and a design procedure for synthesis of residual generators. Then they characterize a class of nonlinear systems for which a high gain observer can be designed. Finally, a hydraulic process example is used to illustrate detection and isolation of three errors via the authors' methods.
Mathematics Subject Classification ID: 93B51
Mathematics Subject Classification ID: 90B25
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 93B07
Mathematics Subject Classification ID: 93C95
zbMATH DE Number: 1891760
zbMATH Keywords: nonlinear system
zbMATH Keywords: fault diagnosis
zbMATH Keywords: observer
zbMATH Keywords: hydraulic process
zbMATH Keywords: fault detection and isolation
zbMATH Keywords: nonlinear disturbance decoupling
zbMATH Keywords: residual generators
reviewed by: William J. Satzer Jr.
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 1891760