A leakage detection method for hydrogen-blended natural gas pipelines in utility tunnels based on multi-task LSTM and CFD simulation

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 97, С. 1335 - 1347

Опубликована: Дек. 6, 2024

Язык: Английский

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Real time hydrogen plume spatiotemporal evolution forecasting by using deep probabilistic spatial-temporal neural network

International Journal of Hydrogen Energy, Год журнала: 2024, Номер 72, С. 878 - 891

Опубликована: Июнь 1, 2024

Язык: Английский

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Structural damage detection and localization via an unsupervised anomaly detection method

Reliability Engineering & System Safety, Год журнала: 2024, Номер 252, С. 110465 - 110465

Опубликована: Авг. 28, 2024

This study introduces an unsupervised machine learning framework for damage detection and localization in Structural Health Monitoring (SHM), leveraging dynamic graph convolutional neural networks Transformer networks. approach is specifically tailored to overcome the challenge of limited labeled data SHM, enabling precise analysis feature synthesis from sensor-derived time series accurate identification. Incorporating a novel 'localization score' enhances framework's precision pinpointing structural damages by integrating data-driven insights with physics-informed understanding dynamics. Extensive validations on diverse structures, including benchmark steel structure real-world cable-stayed bridge, underscore effectiveness anomaly localization, showcasing its potential safeguard critical infrastructure through advanced data-effective techniques.

Язык: Английский

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Dynamic response and performance assessment of subsea sandwich pipelines with different interlayer subjected to underwater explosion

Process Safety and Environmental Protection, Год журнала: 2024, Номер 185, С. 708 - 725

Опубликована: Март 16, 2024

Язык: Английский

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Tank pool fire domino effect prevention by inherently safer layout planning: A techno-economic analytical index

Journal of Loss Prevention in the Process Industries, Год журнала: 2024, Номер 92, С. 105428 - 105428

Опубликована: Сен. 10, 2024

Язык: Английский

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Efficient super-resolution of pipeline transient process modeling using the Fourier Neural Operator

Energy, Год журнала: 2024, Номер 302, С. 131676 - 131676

Опубликована: Май 20, 2024

Язык: Английский

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Leak identification and quantification in gas network using operational data and deep learning framework

Sustainable Energy Grids and Networks, Год журнала: 2024, Номер 39, С. 101496 - 101496

Опубликована: Авг. 13, 2024

In this study, we introduce an innovative deep learning framework designed to achieve precise detection, localization, and rate estimation of gas distribution pipeline system leakages. Our method surpasses conventional statistical approaches, particularly those based on Bayesian inference, by accommodating the system's intricate behaviors, including variable usage production from both sources sinks. Notably, our approach demonstrates remarkable accuracy in localizing leakages even amidst multiple occurrences within system. Specifically, achieving over 98% single-leakage scenarios underscores its effectiveness. Furthermore, through data augmentation involving introduction noise into training dataset, significantly enhance model's performance, when tested against real-world-like noisy data. This study not only showcases efficacy proposed but also adaptability robustness addressing complex challenges systems.

Язык: Английский

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Proposing a Method Using Graph Attention Networks for Predicting Water Injection and Energy Consumption: A Case Study of a Surface Oil and Gas Gathering Station in Jilin Oilfield

Energy & Fuels, Год журнала: 2025, Номер unknown

Опубликована: Янв. 28, 2025

Язык: Английский

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Microleakage localization method for subsea production manifold based on transient pressure wave

Energy, Год журнала: 2025, Номер unknown, С. 135695 - 135695

Опубликована: Март 1, 2025

Язык: Английский

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Hierarchical leakage localization method for complex heterogeneous manifold

Mechanical Systems and Signal Processing, Год журнала: 2025, Номер 230, С. 112616 - 112616

Опубликована: Апрель 5, 2025

Язык: Английский

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