Substructure vibration NARX neural network approach for statistical damage inference

Journal of Engineering Mechanics

Volumn 139, Issue 6, 2013, Pages 737-741

  Yan, Linjun ^a   Elgamal, Ahmed ^b   Cottrell, Garrison W ^c  

^a Tobolski Watkins Engineering Inc   (United States)

^b UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Damage detection; Damage indicator; Neural network; Sensor network; Statistical inference; Structural health monitoring

Indexed keywords

DAMAGE INDICATOR; LOS ALAMOS NATIONAL LABORATORY; MASS SPRING SYSTEMS; NON-LINEAR AUTOREGRESSIVE WITH EXOGENOUS; NON-LINEAR RESPONSE; SENSITIVE INDICATOR; STATISTICAL DISTRIBUTION; STATISTICAL INFERENCE;

DYNAMIC RESPONSE; FORECASTING; NEURAL NETWORKS; SENSOR NETWORKS; STATISTICAL METHODS; STRUCTURAL HEALTH MONITORING;

DAMAGE DETECTION;

ARTIFICIAL NEURAL NETWORK; DAMAGE; ERROR ANALYSIS; SENSOR; STATISTICAL ANALYSIS; STIFFNESS; VIBRATION;

EID: 84881289801     PISSN: 07339399     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)EM.1943-7889.0000363     Document Type: Article

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