제어로봇시스템학회:학술대회논문집

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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GLR approach to failure diagnosis in a linear system with decentralized estimators

  • Kumamaru, Kousuke (Department of Computer Science and Communication Engineering, Faculty of Engineering, Kyushu Univ.) ;
  • Sagara, Setsuo (Department of Electrical Engineering, Faculty of Engineering, Kyushu Univ.) ;
  • Sakae, Kouzou (Department of Energy Conversion Engineering, Interdisciplinary Graduate School of Engineering, Kyushu University)
  • Published : 1988.10.01
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Abstract

A systematic way of failure diagnosis in a linear system with decentralized estimators is developed. The generalized likelihood ratio (G.L.R) approach to failure detection and identification is used for designing a diagnosis system in each subsystem based on the innovation analysis. For the simplicity of the theoretical formulation, a design scheme of failure diagnosis is developed for the system decomposed into two subsystems. To demonstrate the effectiveness of our approach, several simulation studies have been carried out on a third-order linear system which is constructed of a second-order damped oscillator and a first-order lag.

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