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Reports (Research Report) Year : 2000

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

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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Dates and versions

inria-00072616 , version 1 (24-05-2006)

Identifiers

  • HAL Id : inria-00072616 , version 1

Cite

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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