Crack detection and localization in a fluid pipeline based on acoustic emission signals
- Abstract
- This paper introduces a novel approach to crack detection and localization in a pipeline
transporting fluid under high pressure. From acoustic emission signals acquired by two
R15i-AST sensors at two ends of a fluid pipeline, the proposed method scans peaks in
the individual signal channels in the time-frequency domain and filters out noise to obtain
acoustic emission events. Subsequently, adjacent events are combined into grouped
events, and these are picked and paired together on two sensor channels to localize emis?sion sources using the time difference of arrival technique. To improve the location accu?racy, the mechanism only determines the arrival time of Rayleigh waves with a similar
frequency in event pairs. Furthermore, the Rayleigh wave velocity is calibrated by a pencil
lead breaking procedure. Additionally, false emission sources are eliminated by considering
the wave energy attenuation characteristics in their propagation path. After locating the
emission sources, the approach observes their distribution according to the position and
time of occurrence. The variation in acoustic emission activity against applied load, which
is established by counting the returned sources, can indicate irregular structural changes in
a material. The location of the structural change can be surmised by the emission source
distribution and density according to the position along the pipeline. Experimental results
show that the proposed method correctly diagnoses faults in the considered pipeline from
acoustic emission signals, whereas a conventional approach (performed by detecting hits
with a threshold) inaccurately localizes acoustic emission sources and imprecisely exposes
signs of abnormal structural transformations.
- Author(s)
- 부이 꾸이 탕; 김종면
- Issued Date
- 2021
- Type
- Article
- Keyword
- Pipeline health inspection; Pipeline crack detection; Pipeline crack localization; Acoustic emission analysis; Emission source localization
- DOI
- 10.1016/j.ymssp.2020.107254https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_gale_infotracacademiconefile_A648513359&context=PC&vid=ULSAN&lang=ko_KR&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,Crack%20detection%20and%20localization%20in%20a%20fluid%20pipeline%20based%20on%20acoustic%20emission%20signals&offset=0&pcAvailability=true
- URI
- https://oak.ulsan.ac.kr/handle/2021.oak/9034
- Publisher
- MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Location
- 영국
- Language
- 영어
- ISSN
- 0888-3270
- Citation Volume
- 150
- Citation Number
- 1
- Citation Start Page
- 107254
- Citation End Page
- 107254
-
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- Engineering > IT Convergence
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