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dc.contributor.authorLin, Tzu-Kangen_US
dc.contributor.authorLiang, Jui-Changen_US
dc.date.accessioned2015-12-02T02:59:17Z-
dc.date.available2015-12-02T02:59:17Z-
dc.date.issued2015-08-01en_US
dc.identifier.issn0964-1726en_US
dc.identifier.urihttp://dx.doi.org/10.1088/0964-1726/24/8/085003en_US
dc.identifier.urihttp://hdl.handle.net/11536/128016-
dc.description.abstractThis study proposes an information-theoretic structural health monitoring (SHM) system based on multi-scale entropy (MSE) and multi-scale cross-sample entropy (MSCE). By measuring the ambient vibration signal from a structure, the damage condition can be rapidly evaluated via MSE analysis. The damage location can then be detected by analyzing the signals of different floors under the same damage condition via MSCE analysis. Moreover, a damage index is proposed to efficiently quantify the SHM process. Unlike some existing SHM methods, no experimental database or numerical model is required. Instead, a reference measurement of the current stage can initiate and launch the SHM system. A numerical simulation of a four-story steel structure is used to verify that the damage location and condition can be detected by the proposed SHM algorithm, and the location can be efficiently quantified by the damage index. A seven-story scaled-down benchmark structure is then employed for experimental verification. Based on the results, the damage condition can be correctly assessed, and average accuracy rates of 63.4 and 86.6% for the damage location can be achieved using the MSCE and damage index methods, respectively. As only the ambient vibration signal is required with a set of initial reference measurements, the proposed SHM system can be implemented practically with low cost.en_US
dc.language.isoen_USen_US
dc.subjectstructural health monitoringen_US
dc.subjectcross-sample entropyen_US
dc.subjectmulti-scaleen_US
dc.titleApplication of multi-scale (cross-) sample entropy for structural health monitoringen_US
dc.typeArticleen_US
dc.identifier.doi10.1088/0964-1726/24/8/085003en_US
dc.identifier.journalSMART MATERIALS AND STRUCTURESen_US
dc.citation.volume24en_US
dc.contributor.department土木工程學系zh_TW
dc.contributor.departmentDepartment of Civil Engineeringen_US
dc.identifier.wosnumberWOS:000358686000004en_US
dc.citation.woscount0en_US
Appears in Collections:Articles