Structural damage detection by integrating independent component analysis and artificial neural networks

Proceedings of the 2005 International Conference on Machine Learning; Models, Technologies and Applications, MLMTA'05

Volumn , Issue , 2005, Pages 190-196

  Song, Huazhu ^a   Zhong, Luo ^a   Moon, Franklin ^b  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^b Drexel University   (United States)

Author keywords

Artificial neural networks; Independent component analysis; Structural damage detection; Structural health monitoring

Indexed keywords

BACKPROPAGATION; BENCHMARKING; HEMODYNAMICS; INDEPENDENT COMPONENT ANALYSIS; MULTIVARIANT ANALYSIS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; ROBOT LEARNING; SENSOR NETWORKS; SENSORS; STRUCTURAL HEALTH MONITORING; STRUCTURES (BUILT OBJECTS);

ARTIFICIAL NEURAL NETWORKS; BENCHMARK DATUM; CATASTROPHIC FAILURES; FINITE ELEMENTS; GENERAL APPROACHES; NEW APPROACHES; PRINCIPAL COMPONENTS; SENSOR DATUM; STRUCTURAL CHARACTERISTICS; STRUCTURAL DAMAGE DETECTION; STRUCTURAL DAMAGES; UNIVERSITY OF BRITISH COLUMBIA;

DAMAGE DETECTION;

EID: 33748860576     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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