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Failure diagnosis and nonlinear observer. Application to a hydraulic process. (English) Zbl 1021.93011
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.

MSC:
93B51 Design techniques (robust design, computer-aided design, etc.)
90B25 Reliability, availability, maintenance, inspection in operations research
93C10 Nonlinear systems in control theory
93B07 Observability
93C95 Application models in control theory
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