Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part A Statistical Analysis

Current steel tubes inspection techniques are invasive, and the interpretation and evaluation of inspection results are manually done by skilled personnel. This paper presents a statistical analysis of high frequency stress wave signals captured from a newly developed noninvasive,non-destructive tub...

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Main Authors: Abd Halim, Zakiah, Jamaludin, Nordin, Junaidi, Syarif, Syed Yahya, Syed Yusainee
Format: Article
Language:English
Published: 2015
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Online Access:http://eprints.utem.edu.my/id/eprint/18168/2/2015%20JMST%20Part%20A.pdf
http://eprints.utem.edu.my/id/eprint/18168/
http://link.springer.com/article/10.1007/s12206-015-0327-3
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spelling my.utem.eprints.181682021-07-20T20:38:08Z http://eprints.utem.edu.my/id/eprint/18168/ Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part A Statistical Analysis Abd Halim, Zakiah Jamaludin, Nordin Junaidi, Syarif Syed Yahya, Syed Yusainee T Technology (General) TA Engineering (General). Civil engineering (General) Current steel tubes inspection techniques are invasive, and the interpretation and evaluation of inspection results are manually done by skilled personnel. This paper presents a statistical analysis of high frequency stress wave signals captured from a newly developed noninvasive,non-destructive tube inspection technique known as the vibration impact acoustic emission (VIAE) technique. Acoustic emission(AE) signals have been introduced into the ASTM A179 seamless steel tubes using an impact hammer, and the AE wave propagation was captured using an AE sensor. Specifically, a healthy steel tube as the reference tube and four steel tubes with through-hole artificial defect at different locations were used in this study. The AE features extracted from the captured signals are rise time, peak amplitude,duration and count. The VIAE technique also analysed the AE signals using statistical features such as root mean square (r.m.s.), energy,and crest factor. It was evident that duration, count, r.m.s., energy and crest factor could be used to automatically identify the presence ofdefect in carbon steel tubes using AE signals captured using the non-invasive VIAE technique. 2015-04 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/18168/2/2015%20JMST%20Part%20A.pdf Abd Halim, Zakiah and Jamaludin, Nordin and Junaidi, Syarif and Syed Yahya, Syed Yusainee (2015) Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part A Statistical Analysis. Journal of Mechanical Science and Technology, 29. pp. 1547-1557. ISSN 1976-3824 http://link.springer.com/article/10.1007/s12206-015-0327-3 10.1007/s12206-015-0327-3
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Abd Halim, Zakiah
Jamaludin, Nordin
Junaidi, Syarif
Syed Yahya, Syed Yusainee
Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part A Statistical Analysis
description Current steel tubes inspection techniques are invasive, and the interpretation and evaluation of inspection results are manually done by skilled personnel. This paper presents a statistical analysis of high frequency stress wave signals captured from a newly developed noninvasive,non-destructive tube inspection technique known as the vibration impact acoustic emission (VIAE) technique. Acoustic emission(AE) signals have been introduced into the ASTM A179 seamless steel tubes using an impact hammer, and the AE wave propagation was captured using an AE sensor. Specifically, a healthy steel tube as the reference tube and four steel tubes with through-hole artificial defect at different locations were used in this study. The AE features extracted from the captured signals are rise time, peak amplitude,duration and count. The VIAE technique also analysed the AE signals using statistical features such as root mean square (r.m.s.), energy,and crest factor. It was evident that duration, count, r.m.s., energy and crest factor could be used to automatically identify the presence ofdefect in carbon steel tubes using AE signals captured using the non-invasive VIAE technique.
format Article
author Abd Halim, Zakiah
Jamaludin, Nordin
Junaidi, Syarif
Syed Yahya, Syed Yusainee
author_facet Abd Halim, Zakiah
Jamaludin, Nordin
Junaidi, Syarif
Syed Yahya, Syed Yusainee
author_sort Abd Halim, Zakiah
title Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part A Statistical Analysis
title_short Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part A Statistical Analysis
title_full Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part A Statistical Analysis
title_fullStr Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part A Statistical Analysis
title_full_unstemmed Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part A Statistical Analysis
title_sort vibration impact acoustic emission technique for identification and analysis of defects in carbon steel tubes: part a statistical analysis
publishDate 2015
url http://eprints.utem.edu.my/id/eprint/18168/2/2015%20JMST%20Part%20A.pdf
http://eprints.utem.edu.my/id/eprint/18168/
http://link.springer.com/article/10.1007/s12206-015-0327-3
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score 13.1944895