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• W1966382034 abstract "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." @default.
• W1966382034 created "2016-06-24" @default.
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• W1966382034 date "2000-01-01" @default.
• W1966382034 modified "2023-10-18" @default.
• W1966382034 title "Subspace-based fault detection algorithms for vibration monitoring" @default.
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• W1966382034 doi "https://doi.org/10.1016/s0005-1098(99)00093-x" @default.
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