Bayesian wavelet methodology for damage detection of thermal protection system panels

AIAA Journal

Volumn 47, Issue 4, 2009, Pages 942-952

  Jiang, Xiaomo ^a   Mahadevan, Sankaran ^b,c   Guratzsch, Robert ^b,c  

^a GENERAL ELECTRIC COMPANY   (United States)

^b VANDERBILT UNIVERSITY   (United States)

^c VANDERBILT UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BAYESIAN; BAYESIAN HYPOTHESIS; COMPUTATIONAL METHODOLOGY; CROSS CORRELATIONS; CROSS-COHERENCE; DISCRETE WAVELETS; EXPERIMENTAL DATA; HISTORY DATA; MULTIPLE INPUT/MULTIPLE OUTPUTS; NONPARAMETRIC SYSTEM IDENTIFICATION; PROBABILISTIC ASSESSMENTS; SENSOR CONFIGURATIONS; SIGNAL FEATURES; STRUCTURAL SYSTEMS; THERMAL PROTECTION; THERMAL PROTECTION SYSTEM; TIME-FREQUENCY RESOLUTION; TIME-SERIES DATA; TRANSFORM METHODS; U.S. AIR FORCE;

BAYESIAN NETWORKS; BOLTED JOINTS; BOLTS; DYNAMIC RESPONSE; HEAT SHIELDING; NEURAL NETWORKS; RESEARCH LABORATORIES; SIGNAL ANALYSIS; SIGNAL DETECTION; STATISTICAL TESTS; THERMAL INSULATING MATERIALS;

DAMAGE DETECTION;

EID: 67649227427     PISSN: 00011452     EISSN: None     Source Type: Journal    
DOI: 10.2514/1.38503     Document Type: Article

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