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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-12

AUTHORS

Michèle Basseville, Albert Benveniste, Maurice Goursat, Laurent Mevel

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.

PAGES

069136

Identifiers

URI

http://scigraph.springernature.com/pub.10.1155/2007/69136

DOI

http://dx.doi.org/10.1155/2007/69136

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1063202371


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