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Reports (Research Report) Year : 1997

Subspace-based Fault Detection and Isolation Methods - Application to Vibration Monitoring

Michèle Basseville
Albert Benveniste

Abstract

We address the problem of detecting and isolating faults modeled as changes in the eigenstructure of a linear dynamical system. The purpose of the paper is to describe and analyze new fault detection and isolation algorithms, based on recent stochastic subspace-based identification methods and the statistical local approach to the design of detection algorithms. The application to vibration monitoring of mechanical structures and rotating machines is discussed. A conceptual comparison is made with another detection algorithm based on the instrumental variables identification method, and previously proposed by two of the authors.
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Dates and versions

inria-00073389 , version 1 (24-05-2006)

Identifiers

  • HAL Id : inria-00073389 , version 1

Cite

Michèle Basseville, Maher Abdelghani, Albert Benveniste. Subspace-based Fault Detection and Isolation Methods - Application to Vibration Monitoring. [Research Report] RR-3299, INRIA. 1997. ⟨inria-00073389⟩
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