Pattern recognition of structural behaviors based on learning algorithms and symbolic data concepts

Structural Control and Health Monitoring

Volumn 19, Issue 2, 2012, Pages 161-186

  Cury, Alexandre ^a   Crémona, Christian ^b  

^a Laboratoire des Ponts et Chaus es   (France)

^b Direction de la Recherche et de l'Innovation   (France)

Author keywords

damage assessment; learning algorithms; pattern recognition; probability of true detection; symbolic data

Indexed keywords

BAYESIAN DECISION; CLASSIFICATION TECHNIQUE; DAMAGE ASSESSMENTS; DIFFERENT DAMAGES; EXPERIMENTAL TEST; HIGH PROBABILITY; MODAL PARAMETERS; MODAL PROPERTIES; MODE SHAPES; NOISE LEVELS; PATTERN RECOGNITION PROBLEMS; RAILWAY BRIDGES; STRUCTURAL BEHAVIORS; STRUCTURAL CONDITION; STRUCTURAL MODIFICATIONS; SYMBOLIC DATA; SYMBOLIC DATA ANALYSIS; VIBRATION DATA; VIBRATION SIGNATURE;

DECISION TREES; LEARNING ALGORITHMS; MODAL ANALYSIS; PATTERN RECOGNITION; PROBABILITY;

DAMAGE DETECTION;

EID: 84858331274     PISSN: 15452255     EISSN: 15452263     Source Type: Journal    
DOI: 10.1002/stc.412     Document Type: Article

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