Research on Leak Detection and Localization Algorithm for Oil and Gas Pipelines Using Wavelet Denoising Integrated with Long Short-Term Memory (LSTM)–Transformer Models

Traditional leakage prediction models for long-distance pipelines have limitations in effectively synchronizing spatial and temporal features of leakage signals, leading to data processing that heavily relies on manual experience and exhibits insufficient generalization capabilities. This paper intr...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 25; číslo 8; s. 2411
Hlavní autoři:	Ma, Yunbin, Shang, Zuyue, Zheng, Jie, Zhang, Yichen, Weng, Guangyuan, Zhao, Shu, Bi, Cheng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 10.04.2025 MDPI
Témata:	Accuracy Artificial intelligence Comparative analysis Decomposition Gas leakage Gas pipelines Identification and classification Inspection Leak detection leakage prediction LSTM transformer model Neural networks Petroleum Pipe lines pipeline leakage pressure curve distance algorithm Remote sensing Safety and security measures Sensors wavelet denoising Wavelet transforms China United States > US pipeline leakage wavelet denoising pressure curve distance algorithm leakage prediction LSTM transformer model
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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