Test signal design for failure detection: A linear programming approach

• Autorzy: Héctor Rubio Scola , Ramine Nikoukhah , François Delebecque
• Języki publikacji: EN

Abstrakty

EN

A new methodology for the design of filters that permits failure detection and isolation of dynamic systems is presented. Assuming that the normal and the faulty behavior of a process can be modeled by two linear systems subject to inequality bounded perturbations, a method for the on-line implementation of a test signal, guaranteeing failure detection, is proposed. To improve the fault detectability of the dynamic process, appropriate test signals are injected into the system. All the computations required by the proposed method are implemented as the solution of large sparse linear optimization problems. A simple numerical example is given to illustrate the proposed procedure.

Słowa kluczowe

EN

failure detection; large scale programming; failure isolation; active detection; bounded perturbations

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2003
• Tom: 13
• Numer: 4
• Strony: 515-526

Daty

wydano

2003

otrzymano

2002-08-20

poprawiono

2003-06-02

Twórcy

autor

Héctor Rubio Scola

• Departamento de Electrónica FCEIA - CIUNR, Universidad Nacional de Rosario, Rio Bamba 245 bis, 2000 Rosario, Argentina

autor

Ramine Nikoukhah

• INRIA, Rocquencourt BP 105, 78153 Le Chesnay Cedex, France

autor

François Delebecque

• INRIA, Rocquencourt BP 105, 78153 Le Chesnay Cedex, France

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