Damage detection accommodating nonlinear environmental effects by nonlinear principal component analysis

Structural Control and Health Monitoring

Volumn 17, Issue 3, 2010, Pages 338-354

  Hsu, Ting Yu ^a   Loh, Chin Hsiung ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Damage detection; Environmental condition; Neural networks; Nonlinear principal component analysis; Structural health monitoring

Indexed keywords

AUTOASSOCIATIVE NEURAL NETWORKS; BRIDGE MODEL; CONTINUOUS MONITORING; DAMAGE EXTENT; DAMAGE INDEX; ENVIRONMENTAL CONDITION; ENVIRONMENTAL CONDITIONS; ENVIRONMENTAL EFFECTS; ENVIRONMENTAL FACTORS; GRADIENT OF TEMPERATURE; NONLINEAR BEHAVIOR; NONLINEAR PRINCIPAL COMPONENT ANALYSIS; NUMERICAL STUDIES; PREDICTION MODEL; STIFFNESS LOSS; STIFFNESS REDUCTION; STRUCTURAL COMPONENT; STRUCTURAL DAMAGE DETECTION; STRUCTURAL SYSTEMS; TARGET FEATURE;

DAMAGE DETECTION; FEATURE EXTRACTION; HEALTH; MATHEMATICAL MODELS; MOISTURE; MONITORING; NEURAL NETWORKS; NONLINEAR ANALYSIS; STIFFNESS; STRUCTURAL HEALTH MONITORING; STRUCTURES (BUILT OBJECTS);

PRINCIPAL COMPONENT ANALYSIS;

EID: 77949804609     PISSN: 15452255     EISSN: 15452263     Source Type: Journal    
DOI: 10.1002/stc.320     Document Type: Article

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