Journal
AUTOMATICA
Volume 36, Issue 1, Pages 101-109Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0005-1098(99)00093-X
Keywords
fault detection; subspace-based stochastic identification methods; statistical local approach; structural vibration monitoring
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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 identification 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 identification method, and previously proposed by two of the authors. (C) 1999 Elsevier Science Ltd. All rights reserved.
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