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Subspace-Based Algorithms for Structural Identification, Damage Detection, and Sensor Data Fusion

EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 069136 (2006) Cite this article

Abstract

This paper reports on the theory and practice of covariance-driven output-only and input/output subspace-based identification and detection algorithms. The motivating and investigated application domain is vibration-based structural analysis and health monitoring of mechanical, civil, and aeronautic structures.

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Authors and Affiliations

  1. IRISA, Campus Universitaire de Beaulieu, Rennes Cedex, 35042, France

    Michèle Basseville, Albert Benveniste & Laurent Mevel

  2. CNRS, Campus Universitaire de Beaulieu, Rennes Cedex, 35042, France

    Michèle Basseville

  3. INRIA, Campus Universitaire de Beaulieu, Rennes Cedex, 35042, France

    Albert Benveniste & Laurent Mevel

  4. INRIA, Domaine de Voluceau Rocquencourt, BP 105, Le Chesnay Cedex, 78153, France

    Maurice Goursat

Authors
  1. Michèle Basseville
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  2. Albert Benveniste
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  3. Maurice Goursat
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  4. Laurent Mevel
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Correspondence to Michèle Basseville.

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Basseville, M., Benveniste, A., Goursat, M. et al. Subspace-Based Algorithms for Structural Identification, Damage Detection, and Sensor Data Fusion. EURASIP J. Adv. Signal Process. 2007, 069136 (2006). https://doi.org/10.1155/2007/69136

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