Bayesian wavelet methodology for structural damage detection

Structural Control and Health Monitoring

Volumn 15, Issue 7, 2008, Pages 974-991

  Jiang, Xiaomo ^a   Mahadevan, Sankaran ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

Bayesian statistics; Damage detection; Denoising; Monte carlo simulation; Neural network; Wavelet

Indexed keywords

BAYESIAN NETWORKS; CLUSTER ANALYSIS; CONCRETE CONSTRUCTION; DYNAMIC RESPONSE; FUZZY NEURAL NETWORKS; MONTE CARLO METHODS; NEURAL NETWORKS; PROBABILITY; PROBABILITY DENSITY FUNCTION; RANDOM VARIABLES; STATISTICAL TESTS; STRUCTURAL ANALYSIS; SUBSIDENCE; UNCERTAINTY ANALYSIS; VEGETATION;

ANALYTIC MODELS; AND MODELS; BAYESIAN; BAYESIAN ASSESSMENTS; BAYESIAN HYPOTHESIS; BAYESIAN STATISTICS; CHALLENGING PROBLEMS; DATA CLEANSING; DENOISING; DENOISING APPROACHES; DETECTION ACCURACIES; DISCRETE WAVELET PACKET TRANSFORMS; EVALUATION METHODS; EXPERIMENTAL MEASUREMENTS; EXTERNAL EXCITATIONS; FUZZY WAVELET NEURAL NETWORKS; MONTE CARLO SIMULATION; MONTE CARLO SIMULATION TECHNIQUES; NONLINEAR BEHAVIORS; NONPARAMETRIC; NONPARAMETRIC SYSTEM IDENTIFICATIONS; NUMERICAL RESULTS; PROBABILISTIC METHODOLOGIES; PROBABILITY DENSITIES; QUANTITATIVE INFORMATIONS; STEEL FRAMES; STRUCTURAL DAMAGE DETECTIONS; STRUCTURAL SYSTEMS; WAVELET;

DAMAGE DETECTION;

EID: 55749101581     PISSN: 15452255     EISSN: 15452263     Source Type: Journal    
DOI: 10.1002/stc.230     Document Type: Article

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