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Subspace-based fault detection algorithms for vibration monitoring

✍ Scribed by Michèle Basseville; Maher Abdelghani; Albert Benveniste

Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
148 KB
Volume
36
Category
Article
ISSN
0005-1098

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✦ Synopsis

We address the problem of detecting faults modeled as changes in the eigenstructure of a linear dynamical system. This problem is of primary interest for structural vibration monitoring. The purpose of the paper is to describe and analyze new fault detection algorithms, based on recent stochastic subspace-based identi"cation methods and the statistical local approach to the design of detection algorithms. A conceptual comparison is made with another detection algorithm based on the instrumental variables identi"cation method, and previously proposed by two of the authors.

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