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Crack detection and localization in a fluid pipeline based on acoustic emission signals

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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 탕김종면
Issued Date
2021
Type
Article
Keyword
Pipeline health inspectionPipeline crack detectionPipeline crack localizationAcoustic emission analysisEmission 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
Appears in Collections:
Engineering > IT Convergence
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