EMDet: An entropy blending and multi-link parallel feature enhancement detection model for gas pipeline weak leakage detection

To improve the detection accuracy of gas pipeline leakage detection (PLD) especially when the leakage is weak, we propose a hybrid deep learning model, named EMDet in this paper, which incorporates two proposed algorithms called entropy blending (EB) and multi-link parallel feature enhancement (MPFE...

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Vydané v:	Process safety and environmental protection Ročník 186; s. 1580 - 1592
Hlavní autori:	Ye, Lin, Wang, Chengyou, Zhou, Xiao, Qin, Zhiliang, Yu, Changsong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.06.2024
Predmet:	Entropy blending (EB) Multi-link parallel feature enhancement (MPFE) Negative pressure wave (NPW) Pipeline leakage detection (PLD) Variational mode decomposition (VMD) Multi-link parallel feature enhancement (MPFE) Entropy blending (EB) Variational mode decomposition (VMD) Pipeline leakage detection (PLD) Negative pressure wave (NPW)
ISSN:	0957-5820, 1744-3598
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