Acoustic emission localization based on FBG sensing network and SVR algorithm
Abstract In practical application, carbon fiber reinforced plastics (CFRP) structures are easy to appear all sorts of invisible damages. So the damages should be timely located and detected for the safety of CFPR structures. In this paper, an acoustic emission (AE) localization system based on fiber...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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SpringerOpen
2017-01-01
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Series: | Photonic Sensors |
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Online Access: | http://link.springer.com/article/10.1007/s13320-016-0377-x |
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author | Yaozhang Sai Xiuxia Zhao Dianli Hou Mingshun Jiang |
author_facet | Yaozhang Sai Xiuxia Zhao Dianli Hou Mingshun Jiang |
author_sort | Yaozhang Sai |
collection | DOAJ |
description | Abstract In practical application, carbon fiber reinforced plastics (CFRP) structures are easy to appear all sorts of invisible damages. So the damages should be timely located and detected for the safety of CFPR structures. In this paper, an acoustic emission (AE) localization system based on fiber Bragg grating (FBG) sensing network and support vector regression (SVR) is proposed for damage localization. AE signals, which are caused by damage, are acquired by high speed FBG interrogation. According to the Shannon wavelet transform, time differences between AE signals are extracted for localization algorithm based on SVR. According to the SVR model, the coordinate of AE source can be accurately predicted without wave velocity. The FBG system and localization algorithm are verified on a 500 mm×500 mm×2 mm CFRP plate. The experimental results show that the average error of localization system is 2.8 mm and the training time is 0.07 s. |
first_indexed | 2024-12-12T10:42:06Z |
format | Article |
id | doaj.art-fb071cde915b4a74ac7ab88eceb6d518 |
institution | Directory Open Access Journal |
issn | 1674-9251 2190-7439 |
language | English |
last_indexed | 2024-12-12T10:42:06Z |
publishDate | 2017-01-01 |
publisher | SpringerOpen |
record_format | Article |
series | Photonic Sensors |
spelling | doaj.art-fb071cde915b4a74ac7ab88eceb6d5182022-12-22T00:27:02ZengSpringerOpenPhotonic Sensors1674-92512190-74392017-01-0171485410.1007/s13320-016-0377-xAcoustic emission localization based on FBG sensing network and SVR algorithmYaozhang Sai0Xiuxia Zhao1Dianli Hou2Mingshun Jiang3School of Information and Electrical Engineering, Ludong UniversityTIANRUN CRANKSHAFT CO., LTDSchool of Information and Electrical Engineering, Ludong UniversitySchool of Control Science and Engineering, Shandong UniversityAbstract In practical application, carbon fiber reinforced plastics (CFRP) structures are easy to appear all sorts of invisible damages. So the damages should be timely located and detected for the safety of CFPR structures. In this paper, an acoustic emission (AE) localization system based on fiber Bragg grating (FBG) sensing network and support vector regression (SVR) is proposed for damage localization. AE signals, which are caused by damage, are acquired by high speed FBG interrogation. According to the Shannon wavelet transform, time differences between AE signals are extracted for localization algorithm based on SVR. According to the SVR model, the coordinate of AE source can be accurately predicted without wave velocity. The FBG system and localization algorithm are verified on a 500 mm×500 mm×2 mm CFRP plate. The experimental results show that the average error of localization system is 2.8 mm and the training time is 0.07 s.http://link.springer.com/article/10.1007/s13320-016-0377-xFiber Bragg gratingacoustic emission localizationsupport vector regressioncarbon fiber reinforced plastics |
spellingShingle | Yaozhang Sai Xiuxia Zhao Dianli Hou Mingshun Jiang Acoustic emission localization based on FBG sensing network and SVR algorithm Photonic Sensors Fiber Bragg grating acoustic emission localization support vector regression carbon fiber reinforced plastics |
title | Acoustic emission localization based on FBG sensing network and SVR algorithm |
title_full | Acoustic emission localization based on FBG sensing network and SVR algorithm |
title_fullStr | Acoustic emission localization based on FBG sensing network and SVR algorithm |
title_full_unstemmed | Acoustic emission localization based on FBG sensing network and SVR algorithm |
title_short | Acoustic emission localization based on FBG sensing network and SVR algorithm |
title_sort | acoustic emission localization based on fbg sensing network and svr algorithm |
topic | Fiber Bragg grating acoustic emission localization support vector regression carbon fiber reinforced plastics |
url | http://link.springer.com/article/10.1007/s13320-016-0377-x |
work_keys_str_mv | AT yaozhangsai acousticemissionlocalizationbasedonfbgsensingnetworkandsvralgorithm AT xiuxiazhao acousticemissionlocalizationbasedonfbgsensingnetworkandsvralgorithm AT dianlihou acousticemissionlocalizationbasedonfbgsensingnetworkandsvralgorithm AT mingshunjiang acousticemissionlocalizationbasedonfbgsensingnetworkandsvralgorithm |