Output-Only Damage Detection of Steel Beam Using Moving Average Filter

This paper provides a simple and direct output-only baseline-free method to detect damage from the noisy acceleration data by using Moving Average Filter (MAF). MAF is a convolution approach based on a simple filter kernel (rectangular shape) that works as an averaging method to smooth signal and re...

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Main Authors: Hadi Kordestani, Yi-Qiang Xiang, Xiao-Wei Ye
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2018/2067680
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author Hadi Kordestani
Yi-Qiang Xiang
Xiao-Wei Ye
author_facet Hadi Kordestani
Yi-Qiang Xiang
Xiao-Wei Ye
author_sort Hadi Kordestani
collection DOAJ
description This paper provides a simple and direct output-only baseline-free method to detect damage from the noisy acceleration data by using Moving Average Filter (MAF). MAF is a convolution approach based on a simple filter kernel (rectangular shape) that works as an averaging method to smooth signal and remove incorporated noise. In this paper, a method is proposed to employ MAF to smooth acceleration signals obtained from a series of accelerometers and determine the damage location along a steel beam. To verify the proposed method, a simply supported beam was modelled through a 3D numerical simulation and an experimental model under a moving vehicle load. The response acceleration data was then recorded at a sampling frequency of 500 Hz. Finally, damage location was identified by applying the proposed method. The results showed that the proposed method can accurately estimate the damage location from the acceleration signal without applying any frequency filtering or baseline correction.
format Article
id doaj-art-31e66368280d499ab3f588fe81f37c65
institution Kabale University
issn 1070-9622
1875-9203
language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Shock and Vibration
spelling doaj-art-31e66368280d499ab3f588fe81f37c652025-02-03T01:12:09ZengWileyShock and Vibration1070-96221875-92032018-01-01201810.1155/2018/20676802067680Output-Only Damage Detection of Steel Beam Using Moving Average FilterHadi Kordestani0Yi-Qiang Xiang1Xiao-Wei Ye2Zhejiang University, Hangzhou, ChinaZhejiang University, Hangzhou, ChinaZhejiang University, Hangzhou, ChinaThis paper provides a simple and direct output-only baseline-free method to detect damage from the noisy acceleration data by using Moving Average Filter (MAF). MAF is a convolution approach based on a simple filter kernel (rectangular shape) that works as an averaging method to smooth signal and remove incorporated noise. In this paper, a method is proposed to employ MAF to smooth acceleration signals obtained from a series of accelerometers and determine the damage location along a steel beam. To verify the proposed method, a simply supported beam was modelled through a 3D numerical simulation and an experimental model under a moving vehicle load. The response acceleration data was then recorded at a sampling frequency of 500 Hz. Finally, damage location was identified by applying the proposed method. The results showed that the proposed method can accurately estimate the damage location from the acceleration signal without applying any frequency filtering or baseline correction.http://dx.doi.org/10.1155/2018/2067680
spellingShingle Hadi Kordestani
Yi-Qiang Xiang
Xiao-Wei Ye
Output-Only Damage Detection of Steel Beam Using Moving Average Filter
Shock and Vibration
title Output-Only Damage Detection of Steel Beam Using Moving Average Filter
title_full Output-Only Damage Detection of Steel Beam Using Moving Average Filter
title_fullStr Output-Only Damage Detection of Steel Beam Using Moving Average Filter
title_full_unstemmed Output-Only Damage Detection of Steel Beam Using Moving Average Filter
title_short Output-Only Damage Detection of Steel Beam Using Moving Average Filter
title_sort output only damage detection of steel beam using moving average filter
url http://dx.doi.org/10.1155/2018/2067680
work_keys_str_mv AT hadikordestani outputonlydamagedetectionofsteelbeamusingmovingaveragefilter
AT yiqiangxiang outputonlydamagedetectionofsteelbeamusingmovingaveragefilter
AT xiaoweiye outputonlydamagedetectionofsteelbeamusingmovingaveragefilter