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Structural damage localization through an innovative hybrid ensemble approach

Author
Moreno, G.; Villamizar, R.; Camacho, J.; Ruiz, M.; Mujica, L.E.
Type of activity
Presentation of work at congresses
Name of edition
8th ECCOMAS Thematic Conference on Smart Structures and Materials
Date of publication
2017
Presentation's date
2017-06-06
Book of congress proceedings
SMART 2017: ECCOMAS Thematic Conference on Smart Structures and Materials: Madrid, Espanya: June 5-8, 2017: proceedings book
First page
1878
Last page
1889
Publisher
Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE)
Project funding
Development and validation of failure detection and design of fault-tolerant control strategies with application in offshore wind energy plants
Repository
http://hdl.handle.net/2117/105748 Open in new window
Abstract
Damage localization in structures can be achieved by using an appropriate data interpretation algorithm based on the expected structural response. According to the several algorithms reported in literature, a different degree of accuracy is obtained according to complexity requirements. This paper presents a hybrid algorithm approach as alternative to combine some of the reported methods by employing an ensemble architecture. Thus, this damage assessment algorithm integrates advantage of individ...
Citation
Moreno, G., Villamizar, R., Camacho-Navarro, J., Ruiz, M., Mujica, L.E. Structural damage localization through an innovative hybrid ensemble approach. A: ECCOMAS Thematic Conference Smart Structures and Materials. "SMART 2017: ECCOMAS Thematic Conference on Smart Structures and Materials: Madrid, Espanya: June 5-8, 2017: proceedings book". Madrid: Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE), 2017, p. 1878-1889.
Keywords
Damage localization, Ensemble learning, Principal Component Analysis, Supervised methods
Group of research
CoDAlab - Control, Dynamics and Applications

Participants