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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Format: | Article |
Language: | English |
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Wiley
2018-01-01
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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 |