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

Current steel tubes inspection techniques are invasive, and the interpretation and evaluation of inspection results are manually done by skilled personnel. Part A of this work details the methodology involved in the newly developed non-invasive, non-destructive tube inspection technique based on the...

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Main Authors: Abd Halim, Zakiah, Jamaludin, Nordin, Junaidi, Syarif, Syed Yahya, Syed Yusainee
Format: Article
Language:English
Published: 2015
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utem.edu.my/id/eprint/18169/2/2015%20JMST%20Part%20B.pdf
http://eprints.utem.edu.my/id/eprint/18169/
http://link.springer.com/article/10.1007/s12206-015-0328-2
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spelling my.utem.eprints.181692021-07-20T20:45:01Z http://eprints.utem.edu.my/id/eprint/18169/ Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part B Cluster 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. Part A of this work details the methodology involved in the newly developed non-invasive, non-destructive tube inspection technique based on the integration of vibration impact (VI) and acoustic emission (AE) systems known as the vibration impact acoustic emission (VIAE) technique. AE signals have been introduced into a series of ASTM A179 seamless steel tubes using the impact hammer. Specifically, a good steel tube as the reference tube and four steel tubes with through-hole artificial defect at different locations were used in this study. The AEs propagation was captured using a high frequency sensor of AE systems. The present study explores the cluster analysis approach based on autoregressive (AR) coefficients to automatically interpret the AE signals. The results from the cluster analysis were graphically illustrated using a dendrogram that demonstrated the arrangement of the natural clusters of AE signals. The AR algorithm appears to be the more effective method in classifying the AE signals into natural groups. This approach has successfully classified AE signals for quick and confident interpretation of defects in carbon steel tubes. 2015-04 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/18169/2/2015%20JMST%20Part%20B.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 B Cluster Analysis. Journal of Mechanical Science and Technology, 29. pp. 1559-1570. ISSN 1976-3824 http://link.springer.com/article/10.1007/s12206-015-0328-2 10.1007/s12206-015-0328-2
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 B Cluster Analysis
description Current steel tubes inspection techniques are invasive, and the interpretation and evaluation of inspection results are manually done by skilled personnel. Part A of this work details the methodology involved in the newly developed non-invasive, non-destructive tube inspection technique based on the integration of vibration impact (VI) and acoustic emission (AE) systems known as the vibration impact acoustic emission (VIAE) technique. AE signals have been introduced into a series of ASTM A179 seamless steel tubes using the impact hammer. Specifically, a good steel tube as the reference tube and four steel tubes with through-hole artificial defect at different locations were used in this study. The AEs propagation was captured using a high frequency sensor of AE systems. The present study explores the cluster analysis approach based on autoregressive (AR) coefficients to automatically interpret the AE signals. The results from the cluster analysis were graphically illustrated using a dendrogram that demonstrated the arrangement of the natural clusters of AE signals. The AR algorithm appears to be the more effective method in classifying the AE signals into natural groups. This approach has successfully classified AE signals for quick and confident interpretation of defects in carbon steel tubes.
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 B Cluster Analysis
title_short Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part B Cluster Analysis
title_full Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part B Cluster Analysis
title_fullStr Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part B Cluster Analysis
title_full_unstemmed Vibration Impact Acoustic Emission Technique For Identification And Analysis Of Defects In Carbon Steel Tubes: Part B Cluster Analysis
title_sort vibration impact acoustic emission technique for identification and analysis of defects in carbon steel tubes: part b cluster analysis
publishDate 2015
url http://eprints.utem.edu.my/id/eprint/18169/2/2015%20JMST%20Part%20B.pdf
http://eprints.utem.edu.my/id/eprint/18169/
http://link.springer.com/article/10.1007/s12206-015-0328-2
_version_ 1706960912401825792
score 13.211869

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