A structural damage detection algorithm based on discrete wavelet transform and ensemble pattern recognition models

Milad Fallahian; Ehsan Ahmadi; Faramarz Khoshnoudian

doi:10.1007/s13349-021-00546-0

A structural damage detection algorithm based on discrete wavelet transform and ensemble pattern recognition models

Milad Fallahian, Ehsan Ahmadi^*, Faramarz Khoshnoudian

^*Corresponding author for this work

Amirkabir University of Technology

Research output: Contribution to journal › Article › peer-review

25 Citations (SciVal)

Original language	English
Journal	Journal of Civil Structural Health Monitoring
DOIs	https://doi.org/10.1007/s13349-021-00546-0
Publication status	Published (VoR) - 8 Jan 2022

Keywords

structural damage detection
discrete wavelet transform
principal component analysis
deep neural networks
couple sparse coding
ensemble classifiers

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title = "A structural damage detection algorithm based on discrete wavelet transform and ensemble pattern recognition models",

keywords = "structural damage detection, discrete wavelet transform, principal component analysis, deep neural networks, couple sparse coding, ensemble classifiers",

author = "Milad Fallahian and Ehsan Ahmadi and Faramarz Khoshnoudian",

note = "Publisher Copyright: {\textcopyright} 2022, Springer-Verlag GmbH Germany, part of Springer Nature.",

year = "2022",

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doi = "10.1007/s13349-021-00546-0",

language = "English",

journal = "Journal of Civil Structural Health Monitoring",

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T1 - A structural damage detection algorithm based on discrete wavelet transform and ensemble pattern recognition models

AU - Fallahian, Milad

AU - Ahmadi, Ehsan

AU - Khoshnoudian, Faramarz

PY - 2022/1/8

Y1 - 2022/1/8

KW - structural damage detection

KW - discrete wavelet transform

KW - principal component analysis

KW - deep neural networks

KW - couple sparse coding

KW - ensemble classifiers

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JO - Journal of Civil Structural Health Monitoring

JF - Journal of Civil Structural Health Monitoring

ER -

A structural damage detection algorithm based on discrete wavelet transform and ensemble pattern recognition models

Keywords

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