Response-based multiple structural damage localization through multi-channel empirical mode decomposition

Azami, Mansour; Salehi, Mehdi

doi:10.1080/24705314.2019.1657616

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…19 Azimi and Salehi proposed an MEMD method that was successful in locating the damaged zone. 20 Ozan Celik et al conducted an experimental research in which an adaptive data-driven time history analysis was offered for a structure under human-induced excitations. Results illustrated that adaptive MEMD could identify structural modal responses successfully.…”

Section: Introductionmentioning

confidence: 99%

“…In another interesting study, Barbosh et al suggested a technique to enhance performance modal identification by MEMD 19 . Azimi and Salehi proposed an MEMD method that was successful in locating the damaged zone 20 . Ozan Celik et al conducted an experimental research in which an adaptive data‐driven time history analysis was offered for a structure under human‐induced excitations.…”

Section: Introductionmentioning

confidence: 99%

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Identifying the dynamic characteristics of super tall buildings by multivariate empirical mode decomposition

Doroudi

Lavassani

Shahrouzi

et al. 2022

Structural Contr & Hlth

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identifying the dynamic characteristics of super tall buildings by multivariate empirical mode decomposition

Doroudi

Lavassani

Shahrouzi

et al. 2022

Structural Contr & Hlth

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Empirical mode decomposition and its variants: a review with applications in structural health monitoring

Barbosh¹,

Singh²,

Sadhu³

2020

Smart Mater. Struct.

124

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Structural health monitoring (SHM) is one of the most emerging approaches for early damage detection, which leads to improved safety and efficient maintenance of large-scale civil structures. Data-driven vibration-based SHM techniques rely on sophisticated signal processing methods to analyze and interpret the complex measured data collected from the instrumented structures. Empirical mode decomposition (EMD) is one of the robust time-frequency decomposition techniques that has been widely used in SHM. Numerous studies have used EMD and its variants in different applications specific to structural modal identification and damage detection, which have been presented in various academic journals, conference papers, and technical reports. This paper presents a comprehensive and systematic review and summary of applications of EMD and its variants that have been extensively implemented in SHM. A brief background and illustration of EMD and its variants are presented first to show their performance under various cases, followed by a detailed literature review of their recent applications specific to SHM.

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Ultra-Low Power Stress Sensing By Leakage Current of P-N Junctions

Feng

et al. 2020

2020 Ieee Sensors

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Response-based multiple structural damage localization through multi-channel empirical mode decomposition

Cited by 4 publications

References 21 publications

Identifying the dynamic characteristics of super tall buildings by multivariate empirical mode decomposition

Identifying the dynamic characteristics of super tall buildings by multivariate empirical mode decomposition

Empirical mode decomposition and its variants: a review with applications in structural health monitoring

Ultra-Low Power Stress Sensing By Leakage Current of P-N Junctions

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