Novelty detection by nonlinear factor analysis for structural health monitoring

Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010

Volumn , Issue , 2010, Pages 468-473

  Lamsa V ^a   Raiko, T ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ADVERSE EFFECT; DAMAGE-SENSITIVE FEATURES; DETECTION METHODS; DETECTION PROBLEMS; LINEAR METHODS; NONLINEAR FACTORS; NOVELTY DETECTION; PRIOR INFORMATION; VIBRATION-BASED STRUCTURAL HEALTH MONITORING;

LEARNING SYSTEMS; NONLINEAR ANALYSIS; SIGNAL DETECTION; SIGNAL PROCESSING; STRUCTURAL HEALTH MONITORING;

DAMAGE DETECTION;

EID: 78449287757     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2010.5588688     Document Type: Conference Paper

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