Structural damage identification utilising PCA-compressed frequency response functions and neural network ensembles

Futures in Mechanics of Structures and Materials - Proceedings of the 20th Australasian Conference on the Mechanics of Structures and Materials, ACMSM20

Volumn , Issue , 2008, Pages 803-809

  Dackermann, U ^a   Li, J ^a   Samali, B ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; BEAM STRUCTURES; FIELD APPLICATION; FINITE ELEMENT MODELLING; FREQUENCY RESPONSE FUNCTIONS; INDIVIDUAL DIFFERENCES; INPUT PATTERNS; NEURAL NETWORK ENSEMBLES; SENSOR SIGNALS; STEEL BEAMS; STRUCTURAL DAMAGE IDENTIFICATION; TIME HISTORY; TRAINING AND TESTING; WHITE GAUSSIAN NOISE;

DAMAGE DETECTION; FINITE ELEMENT METHOD; FREQUENCY RESPONSE; GAUSSIAN BEAMS; GAUSSIAN NOISE (ELECTRONIC); MECHANICS; PRINCIPAL COMPONENT ANALYSIS; STRUCTURAL ANALYSIS; TRANSIENT ANALYSIS; WHITE NOISE;

NEURAL NETWORKS;

EID: 79952232926     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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