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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[Research Report] RR-4024, INRIA. 2000
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Soumis le : mercredi 24 mai 2006 - 10:24:21
Dernière modification le : jeudi 11 janvier 2018 - 06:20:10
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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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