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dc.contributor.authorFajri, Haikalen_US
dc.contributor.authorLin, Tzu-Kangen_US
dc.date.accessioned2016-03-28T00:05:41Z-
dc.date.available2016-03-28T00:05:41Z-
dc.date.issued2015-01-01en_US
dc.identifier.isbn978-1-60595-275-8en_US
dc.identifier.issnen_US
dc.identifier.urihttp://hdl.handle.net/11536/129753-
dc.description.abstractThis paper presents an application of multifractal detrended fluctuation analysis (MF-DFA) for structural health monitoring (SHM). To demonstrate the performance of proposed SHM algorithm for detecting and locating the damage, structure response of seven-story scale-down benchmark measured from ambient vibration was evaluated. It was found that damage condition due to stiffness change was effectively detected by using multifractal spectrum peak value of a single sensor under different damage categories. Moreover, the damage location was discovered after analyzing the signals of the entire floors under the same damage categories by using MF-DFA analysis. The multifractal spectrums of damage cases were subsequently compared with the healthy structure to distinctly assess the damage location. The result revealed that the damage location was correctly predicted as the shifted spectrum trend of the proposed SHM-based system. As it offers an alternative choice of the traditional SHM system with a set of initial reference, and only ambient vibration signal is required, the proposed SHM system is a promising tool in the practical implementation.en_US
dc.language.isoen_USen_US
dc.titleApplication of Multifractal Detrended Fluctuation Analysis for Structural Health Monitoringen_US
dc.typeProceedings Paperen_US
dc.identifier.journalSTRUCTURAL HEALTH MONITORING 2015: SYSTEM RELIABILITY FOR VERIFICATION AND IMPLEMENTATION, VOLS. 1 AND 2en_US
dc.citation.spage1147en_US
dc.citation.epage1154en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000365445301052en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper