Electromechanical Impedance-based Techniques for Structural Health Monitoring

New developments on electromechanical impedance (EMI) based structure health monitoring techniques are presented in this thesis. Time frequency auto-regressive moving average (TFARMA) model based damage indicator is developed to enhance the sensitivity of EMI based method for structural damage detec...

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Bibliographic Details
Main Author: Fan, Xingyu
Format: Thesis
Published: Curtin University 2018
Online Access:http://hdl.handle.net/20.500.11937/75614
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author Fan, Xingyu
author_facet Fan, Xingyu
author_sort Fan, Xingyu
building Curtin Institutional Repository
collection Online Access
description New developments on electromechanical impedance (EMI) based structure health monitoring techniques are presented in this thesis. Time frequency auto-regressive moving average (TFARMA) model based damage indicator is developed to enhance the sensitivity of EMI based method for structural damage detection. An innovative approach by using impedance sensitivity-based model updating and sparse regularization techniques is developed for structural damage localization and quantification. Numerical and experimental studies are conducted to verify the performance of the proposed approaches.
first_indexed 2025-11-14T11:04:48Z
format Thesis
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:04:48Z
publishDate 2018
publisher Curtin University
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-756142019-06-19T05:30:15Z Electromechanical Impedance-based Techniques for Structural Health Monitoring Fan, Xingyu New developments on electromechanical impedance (EMI) based structure health monitoring techniques are presented in this thesis. Time frequency auto-regressive moving average (TFARMA) model based damage indicator is developed to enhance the sensitivity of EMI based method for structural damage detection. An innovative approach by using impedance sensitivity-based model updating and sparse regularization techniques is developed for structural damage localization and quantification. Numerical and experimental studies are conducted to verify the performance of the proposed approaches. 2018 Thesis http://hdl.handle.net/20.500.11937/75614 Curtin University fulltext
spellingShingle Fan, Xingyu
Electromechanical Impedance-based Techniques for Structural Health Monitoring
title Electromechanical Impedance-based Techniques for Structural Health Monitoring
title_full Electromechanical Impedance-based Techniques for Structural Health Monitoring
title_fullStr Electromechanical Impedance-based Techniques for Structural Health Monitoring
title_full_unstemmed Electromechanical Impedance-based Techniques for Structural Health Monitoring
title_short Electromechanical Impedance-based Techniques for Structural Health Monitoring
title_sort electromechanical impedance-based techniques for structural health monitoring
url http://hdl.handle.net/20.500.11937/75614