Fused empirical mode decomposition and wavelets for locating combined damage in a truss-type structure through vibration analysis

Structural health monitoring （SHM） is a relevant topic for civil systems and involves the monitoring, data processing and interpretation to evaluate the condition of a structure, in order to detect damage. In real structures, two or more sites or types of damage can be present at the same time. It h...

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Bibliographic Details
Published in:Journal of Zhejiang University. A. Science 2013-09, Vol.14 (9), p.615-630
Main Authors: Garcia-Perez, Arturo, Amezquita-Sanchez, Juan P., Dominguez-Gonzalez, Aurelio, Sedaghati, Ramin, Osornio-Rios, Roque, Romero-Troncoso, Rene J.
Format: Article
Language:English
Subjects:
Civil Engineering
Classical and Continuum Physics
Damage
Decomposition
Empirical analysis
Engineering
Health monitoring (engineering)
Industrial Chemistry/Chemical Engineering
Life span
Mechanical Engineering
Monitoring
Structural health monitoring
Tasks
位置识别
定位
小波包
振动分析
桁架式结构
经验模式分解
结构健康监测
结构损坏
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Summary:Structural health monitoring （SHM） is a relevant topic for civil systems and involves the monitoring, data processing and interpretation to evaluate the condition of a structure, in order to detect damage. In real structures, two or more sites or types of damage can be present at the same time. It has been shown that one kind of damaged condition can interfere with the detection of another kind of damage, leading to an incorrect assessment about the structure condition. Identifying combined damage on struc- tures still represents a challenge for condition monitoring, because the reliable identification of a combined damaged condition is a difficult task. Thus, this work presents a fusion of methodologies, where a single wavelet-packet and the empirical mode decom- position （EMD） method are combined with artificial neural networks （ANNs） for the automated and online identification-location of single or multiple-combined damage in a scaled model of a five-bay truss-type structure. Results showed that the proposed methodology is very efficient and reliable for identifying and locating the three kinds of damage, as well as their combinations. Therefore, this methodology could be applied to detection-location of damage in real truss-type structures, which would help to improve the characteristics and life span of real structures.
ISSN:1673-565X
1862-1775
DOI:10.1631/jzus.A1300030