On the use of hidden markov modeling and time-frequency features for damage classification in composite structures

Journal of Intelligent Material Systems and Structures

Volumn 20, Issue 11, 2009, Pages 1271-1288

  Wenfan Zhou, ^a   Kovvali, Narayan ^a   Reynolds, Whitney ^a   Papandreou Suppappola, Antonia ^a   Chattopadhyay, Aditi ^a   Cochran, Douglas ^a  

^a Arizona State University   (United States)

Author keywords

composite structures; damage classification; damage detection; hidden Markov model; Integrated vehicle health management; matching pursuit decomposition; sensor fusion.

Indexed keywords

BAYESIAN FRAMEWORKS; CLASSIFICATION PERFORMANCE; CLASSIFICATION RESULTS; CONTINUOUS OBSERVATION; DAMAGE CLASSIFICATION; DAMAGE FEATURES; DECISION FUSION; DECOMPOSITION ALGORITHM; HIDDEN MARKOV MODELING; IMPACT DAMAGES; INTEGRATED VEHICLE HEALTH MANAGEMENT; MATCHING PURSUIT; MATCHING PURSUIT DECOMPOSITION; MEASURED SIGNALS; SENSOR FUSION.; STRUCTURAL DAMAGES; TENSILE DAMAGE; TIME FREQUENCY; TIME FREQUENCY FEATURES;

COMPOSITE STRUCTURES; COMPUTATIONAL COMPLEXITY; HIDDEN MARKOV MODELS; LAMINATED COMPOSITES; OBJECT RECOGNITION; SENSORS; STRUCTURAL ANALYSIS; STRUCTURE (COMPOSITION);

DAMAGE DETECTION;

EID: 67650224963     PISSN: 1045389X     EISSN: 15308138     Source Type: Journal    
DOI: 10.1177/1045389X08099968     Document Type: Article

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