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Burst Analysis for Multi-Level Leakage Detection in Water-Filled Pipeline Based on Acoustic Emission Signal

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Abstract
This paper establishes a methodology to exploit the characteristics of
burst waveform in acoustic emission (AE) signals and combine with the signal analysis
process to enhance the accuracy of multi-level leak detection in steel pipelines.
The AE bursts are signal waveforms that contain the continual imbrication transients
with variable strengths in the form of impulses and these impulses include the pivotal
information of the leakage syndromes. Capturing and isolation of a burst waveform
against the background signal strengthen the capability of a pipeline’s fault diagnosis
system. First, this research employs a method using the Enhanced Constant
False Alarm Rate (ECFAR) to identify the bursts. Then, the information which is
extracted from the burst waveform segment is used to recognize their various sizes of
leakage in a laboratory simulated leak system. The training multi-class support vector
machine in the one-against-all strategy is responsible for the leak categorization. The
result of classification from the proposed method is compared with another algorithm
utilizing the wavelet threshold-based burst detection algorithm, which demonstrates
the ECFAR method gives an outperforms the wavelet threshold-based algorithm in
classification with the accuracy of 93% for different sizes of leakage.
Author(s)
즈엉 박 피김재영정인규김종면
Issued Date
2021
Type
Article
Keyword
Acoustic emissionBurst analysisEnhance constant false alarm rateLeakage detection
DOI
10.1007/978-981-15-9837-1_9
URI
https://oak.ulsan.ac.kr/handle/2021.oak/9053
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_springer_books_10_1007_978_981_15_9837_1_9&context=PC&vid=ULSAN&lang=ko_KR&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,Burst%20Analysis%20for%20Multi-Level%20Leakage%20Detection%20in%20Water-Filled%20Pipeline%20Based%20on%20Acoustic%20Emission%20Signal&offset=0&pcAvailability=true
Publisher
Springer Proceedings in Physics
Location
스위스
Language
영어
Citation Volume
259
Citation Number
1
Citation Start Page
93
Citation End Page
103
Appears in Collections:
Engineering > IT Convergence
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