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Blind subspace-based eigenstructure identification under nonstationary excitation using moving sensors

Laurent Mevel 1 Albert Benveniste 1 Michèle Basseville 1 Maurice Goursat 2
1 SIGMA2 - Signal, models, algorithms
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes
Abstract : Subspace identification algorithms have proven efficient for performing output-only identification of the eigenstructure of a linear MIMO system subject to uncontrolled, unmeasured, and nonstationary excitation. Such a problem arises in mechanical engineering, for modal analysis of vibrating structures and machines. A common practice there is to collect data from varying sensor locations, using both fixed and moving sensors, in order to mimic the availability of a larger set of sensors. The purpose of this paper is to investigate how subspace-based identification can be adapted to handle such a situation, to prove its consistency under nonstationary excitation, and to report on a real application example.
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https://hal.inria.fr/inria-00072616
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Submitted on : Wednesday, May 24, 2006 - 10:24:21 AM
Last modification on : Thursday, February 11, 2021 - 2:48:05 PM
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  • HAL Id : inria-00072616, version 1

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Laurent Mevel, Albert Benveniste, Michèle Basseville, Maurice Goursat. Blind subspace-based eigenstructure identification under nonstationary excitation using moving sensors. [Research Report] RR-4024, INRIA. 2000. ⟨inria-00072616⟩

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