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contributor authorShaofeng Wang
contributor authorZhihao Chen
contributor authorJianguo Wang
contributor authorHailing Wang
contributor authorChunsheng Ji
contributor authorJun Hong
contributor authorLin Gao
date accessioned2022-01-30T20:04:23Z
date available2022-01-30T20:04:23Z
date issued2020
identifier other%28ASCE%29PS.1949-1204.0000467.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4266467
description abstractThis study is interested in executing an optimal wavelet transform (WT) to interpret the continuous leak acoustic emission signal precisely. Thus, this paper proposes detailed guidelines on how to select an optimal mother wavelet. The recurring dominant signal patterns were first isolated from the raw leak AE signal. Having their correlation similarity with available standard mother wavelets led to the optimal choice of mother wavelet. The WT spectrogram with mother wavelet cmor1-1.5 presents an excellent leak frequency band and peak leak frequency in comparison with other mother wavelets. Cross-correlation tests were further carried out to evaluate the ability of cmor1-1.5 for locating the leak source with WT coefficients on the leak characteristic frequency. Furthermore, through directly transferring the raw leak AE signals into the cross-correlation function to recalculate their time difference of arrival (TDOA), the location results of the leak source have a huge deviation or are fundamentally impossible. Thus, comparison incredibly indicates the significance of the choice of suitable mother wavelet, which also further highlights that having an optimal choice of the mother wavelet in the proposed method led to the accurate location for the leak source.
publisherASCE
titleContinuous Leak Detection and Location through the Optimal Mother Wavelet Transform to AE Signal
typeJournal Paper
journal volume11
journal issue3
journal titleJournal of Pipeline Systems Engineering and Practice
identifier doi10.1061/(ASCE)PS.1949-1204.0000467
page04020024
treeJournal of Pipeline Systems Engineering and Practice:;2020:;Volume ( 011 ):;issue: 003
contenttypeFulltext


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