Leak Detection for Natural Gas Gathering Pipelines Under Multiple Operating Conditions Using RP-1dConvLSTM-AE and Multimodel Decision-Reference-Cited by-同舟云学术

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Leak Detection for Natural Gas Gathering Pipelines Under Multiple Operating Conditions Using RP-1dConvLSTM-AE and Multimodel Decision

Published:2023 Issue: Volume: Page:1-11
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Zuo Zhonglin¹^ORCID,Zhang Hao¹^ORCID,Ma Li²^ORCID,Liu Tong³^ORCID,Liang Shan¹^ORCID

Affiliation:

1. Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing, China

2. Central Sichuan District of PetroChina Southwest Oil and Gas Field Company, Suining, China

3. Department of Chemical Engineering, Imperial College London, London, U.K.

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/4387790/10190156.pdf?arnumber=10190156

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1. A self-supervised leak detection method for natural gas gathering pipelines considering unlabeled multi-class non-leak data;Computers in Industry;2024-08

2. Leak detection for natural gas gathering pipelines under corrupted data via assembling twin robust autoencoders;Process Safety and Environmental Protection;2024-08

3. Data and Model Combined Unsupervised Fault Detection and Assessment Framework for Underwater Thruster;IEEE Transactions on Industrial Informatics;2024-06

4. Replay Attack Detection for Cyber-Physical Control Systems: A Dynamical Delay Estimation Method;IEEE Transactions on Industrial Electronics;2024

5. NDAMA: A Novel Deep Autoencoder and Multivariate Analysis Approach for IoT-Based Methane Gas Leakage Detection;IEEE Access;2023

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