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MohammadHossein Reshadi, Wen Li, Wenjie Xu, Precious Omashor, Albert Dinh, Scott Dick, Yuntong She and Michael Lipsett
Anomaly detection in data streams (and particularly time series) is today a vitally important task. Machine learning algorithms are a common design for achieving this goal. In particular, deep learning has, in the last decade, proven to be substantially ...
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Zhe Xu, Bing Guan, Lixin Wei, Shuangqing Chen, Minghao Li and Xiaoyu Jiang
The development of hydrogen-blended natural gas (HBNG) increases the risk of gas transportation and presents challenges for pipeline security in utility tunnels. The objective of this study is to investigate the diffusion properties of HBNG in utility tu...
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Uma Rajasekaran, Mohanaprasad Kothandaraman and Chang Hong Pua
Significant water loss caused by pipeline leaks emphasizes the importance of effective pipeline leak detection and localization techniques to minimize water wastage. All of the state-of-the-art approaches use deep learning (DL) for leak detection and cro...
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Fengming Du, Cong Li and Weiwei Wang
Oil and gas exploration is a sector which drives the global economy and currently contributes significantly to global economic development. The safety of subsea pipelines is deeply affected by factors such as pipeline buckling, corrosion and leakage. Onc...
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Wenfeng Guan, Ju Chen, Lijian Chen, Jiaolong Cao and Hongjun Fan
Adopting proton exchange membrane fuel cells fuelled by hydrogen presents a promising solution for the shipping industry?s deep decarbonisation. However, the potential safety risks associated with hydrogen leakage pose a significant challenge to the deve...
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Te-Kwei Wang, Yu-Hsun Lin, Jian-Yuan Shen
Pág. 169 - 180
This research proposes an artificial intelligence (AI) detection model using convolutional neural networks (CNN) to automatically detect gas leaks in a long-distance pipeline. The change of gap pressure is collected when leakage occurs in the pipeline, a...
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Qunhong Tian, Tao Wang, Yunxia Wang, Changjiang Li and Bing Liu
The bionic robotic fish is one of the special autonomous underwater vehicles (AUV), whose path planning is crucial for many applications including underwater environment detection, archaeology, pipeline leak detection, and so on. However, the uncertain o...
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Nahid Nadimi, Reza Javidan and Kamran Layeghi
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Olena Monchenko,Yelyzaveta Kutniak,Hanna Martyniuk,Nadiia Marchenko
Pág. 72 - 79
A universal mathematical model of a noise signal in pipeline systems from the point of its origin to the observation point was presented. Due to the indicator function introduced into it, the model makes it possible to use different types of components a...
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Lizeth Torres, Javier Jiménez-Cabas, Omar González, Lázaro Molina and Francisco-Ronay López-Estrada
The purpose of this paper is to provide a structural review of the progress made on the detection and localization of leaks in pipelines by using approaches based on the Kalman filter. To the best of the author?s knowledge, this is the first review on th...
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