Development of a bio-inspired structural health monitoring system based on multi-scale sample entropy

Tzu-Kang Lin; Jui Chang Liang

Development of a bio-inspired structural health monitoring system based on multi-scale sample entropy

Tzu-Kang Lin
, Jui Chang Liang

土木工程學系

研究成果: Paper › 同行評審

摘要

A bio-inspired structural health monitoring (SHM) system based on multi-scale Sample Entropy (SampEn) is proposed in this paper. Recently, studies on entropy have shown that the healthy state of human can be evaluated by analyzing the measured electrocardiogram. As similar circumstance is also faced in the field of structural health monitoring, where the vibration signal of the structure can be measured by deployed sensors, a multi-disciplinary research is inspired and conducted. Numerical simulation has verified that the damage location and condition can be detected by the proposed SHM algorithm by processing the ambient vibration signal.

原文	English
頁面	834-841
頁數	8
出版狀態	Published - 7月 2014
事件	7th European Workshop on Structural Health Monitoring, EWSHM 2014 - Nantes, 法國持續時間: 8 7月 2014 → 11 7月 2014

Conference

Conference	7th European Workshop on Structural Health Monitoring, EWSHM 2014
國家/地區	法國
城市	Nantes
期間	8/07/14 → 11/07/14

UN SDG

此研究成果有助於以下永續發展目標

SDG 3 良好的健康和福祉

其它文件與鏈接

Link to publication in Scopus

引用此

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title = "Development of a bio-inspired structural health monitoring system based on multi-scale sample entropy",

abstract = "A bio-inspired structural health monitoring (SHM) system based on multi-scale Sample Entropy (SampEn) is proposed in this paper. Recently, studies on entropy have shown that the healthy state of human can be evaluated by analyzing the measured electrocardiogram. As similar circumstance is also faced in the field of structural health monitoring, where the vibration signal of the structure can be measured by deployed sensors, a multi-disciplinary research is inspired and conducted. Numerical simulation has verified that the damage location and condition can be detected by the proposed SHM algorithm by processing the ambient vibration signal.",

keywords = "Multi-scale entropy, Sample entropy, Structural health monitoring",

author = "Tzu-Kang Lin and Liang, \{Jui Chang\}",

year = "2014",

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note = "7th European Workshop on Structural Health Monitoring, EWSHM 2014 ; Conference date: 08-07-2014 Through 11-07-2014",

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TY - CONF

T1 - Development of a bio-inspired structural health monitoring system based on multi-scale sample entropy

AU - Lin, Tzu-Kang

AU - Liang, Jui Chang

PY - 2014/7

Y1 - 2014/7

N2 - A bio-inspired structural health monitoring (SHM) system based on multi-scale Sample Entropy (SampEn) is proposed in this paper. Recently, studies on entropy have shown that the healthy state of human can be evaluated by analyzing the measured electrocardiogram. As similar circumstance is also faced in the field of structural health monitoring, where the vibration signal of the structure can be measured by deployed sensors, a multi-disciplinary research is inspired and conducted. Numerical simulation has verified that the damage location and condition can be detected by the proposed SHM algorithm by processing the ambient vibration signal.

AB - A bio-inspired structural health monitoring (SHM) system based on multi-scale Sample Entropy (SampEn) is proposed in this paper. Recently, studies on entropy have shown that the healthy state of human can be evaluated by analyzing the measured electrocardiogram. As similar circumstance is also faced in the field of structural health monitoring, where the vibration signal of the structure can be measured by deployed sensors, a multi-disciplinary research is inspired and conducted. Numerical simulation has verified that the damage location and condition can be detected by the proposed SHM algorithm by processing the ambient vibration signal.

KW - Multi-scale entropy

KW - Sample entropy

KW - Structural health monitoring

UR - https://www.scopus.com/pages/publications/84939436010

M3 - Paper

AN - SCOPUS:84939436010

SP - 834

EP - 841

T2 - 7th European Workshop on Structural Health Monitoring, EWSHM 2014

Y2 - 8 July 2014 through 11 July 2014

ER -

Development of a bio-inspired structural health monitoring system based on multi-scale sample entropy

摘要

Conference

UN SDG

其它文件與鏈接

指紋

引用此