Multiresolution classification with semi-supervised learning for indirect bridge structural health monitoring

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2013, Pages 3412-3416

  Chen, Siheng ^a   Cerda, Fernando ^a,c   Guo, Jia ^a   Harley, Joel B ^a   Shi, Qing ^a   Rizzo, Piervincenzo ^b   Bielak, Jacobo ^a   Garrett, James H ^a   Kovacevic, Jelena ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF PITTSBURGH   (United States)

^c UNIVERSITY OF CONCEPCIÓN   (Chile)

Author keywords

bridge structural health monitoring; multiresolution classification; semi supervised learning

Indexed keywords

BRIDGE STRUCTURAL HEALTH MONITORING; CLASSIFICATION FRAMEWORK; MODAL CHARACTERISTICS; MONITORING APPROACH; MOVING VEHICLES; MULTIRESOLUTION; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING;

ALGORITHMS; SENSORS; SIGNAL PROCESSING; STRUCTURAL HEALTH MONITORING;

SUPERVISED LEARNING;

EID: 84890519611     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6638291     Document Type: Conference Paper

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