Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

Journal of Sound and Vibration

Volumn 388, Issue , 2017, Pages 154-170

  Abdeljaber, Osama ^a   Avci, Onur ^a   Kiranyaz, Serkan ^a   Gabbouj, Moncef ^b   Inman, Daniel J ^c  

^a Qatar University   (Qatar)

^b TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^c UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Convolutional neural networks; Neural networks; Structural damage detection; Structural health monitoring; Vibration

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL EFFICIENCY; CONVOLUTION; FEATURE EXTRACTION; NEURAL NETWORKS; ONE DIMENSIONAL; STRUCTURAL ANALYSIS; STRUCTURAL HEALTH MONITORING; VIBRATIONS (MECHANICAL);

CONVOLUTIONAL NEURAL NETWORK; DAMAGE DETECTION SYSTEMS; DAMAGE-SENSITIVE FEATURES; FEATURE EXTRACTION AND CLASSIFICATION; STRUCTURAL DAMAGE DETECTION; STRUCTURAL HEALTH MONITORING (SHM); VIBRATION; VIBRATION-BASED DAMAGE DETECTION;

DAMAGE DETECTION;

EID: 84997079451     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2016.10.043     Document Type: Article

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