Gas leakage detection using spatial and temporal neural network model

A Kopbayev, F Khan, M Yang, SZ Halim - Process Safety and …, 2022 - Elsevier
Natural gas leakage can impose significant danger on a facility and its surrounding
communities. Methods for early detection and diagnosis of such leakages have been …

Real-time pipeline leak detection and localization using an attention-based LSTM approach

X Zhang, J Shi, M Yang, X Huang, AS Usmani… - Process Safety and …, 2023 - Elsevier
Long short-term memory (LSTM) has been widely applied to real-time automated natural
gas leak detection and localization. However, LSTM approach could not provide the …

Residual strength prediction of corroded pipelines using multilayer perceptron and modified feedforward neural network

Z Chen, X Li, W Wang, Y Li, L Shi, Y Li - Reliability Engineering & System …, 2023 - Elsevier
Corrosion defects occurring in natural gas pipelines are common and annoying. The
residual strength prediction of corroded pipelines is usually carried out based on theoretical …

[HTML][HTML] Leakage detection in water distribution networks via 1D CNN deep autoencoder for multivariate SCADA data

HM Tornyeviadzi, R Seidu - Engineering Applications of Artificial …, 2023 - Elsevier
Leakages are undesirable events in water distribution networks (WDNs) with mostly
unknown incident time making it extremely difficult to accurately label leaks in distribution …

Leveraging machine learning for pipeline condition assessment

H Lu, ZD Xu, X Zang, D Xi, T Iseley… - Journal of Pipeline …, 2023 - ascelibrary.org
Pipeline condition assessment is a cost-effective method to determine the status of pipeline
structure and predict failure probability. Although 100% inspection may not be feasible for …

Leakage diagnosis and localization of the gas extraction pipeline based on SA-PSO BP neural network

J Zhou, H Lin, S Li, H Jin, B Zhao, S Liu - Reliability Engineering & System …, 2023 - Elsevier
Leakage is a potential accident affecting gas pipeline reliability. To diagnose leakage of the
main gas extraction pipeline in coal mines, a pipeline leakage diagnosis method based on …

A recent review of risk-based inspection development to support service excellence in the oil and gas industry: an artificial intelligence perspective

T Aditiyawarman, APS Kaban… - … -ASME Journal of …, 2023 - asmedigitalcollection.asme.org
Inspection and Maintenance methods development have a pivotal role in preventing the
uncertainty-induced risks in the oil and gas industry. A key aspect of inspection is evaluating …

Leak localization in water distribution networks using data-driven and model-based approaches

L Romero-Ben, D Alves, J Blesa… - Journal of Water …, 2022 - ascelibrary.org
The detection and localization of leaks in water distribution networks (WDNs) is one of the
major concerns of water utilities, due to the necessity of an efficient operation that satisfies …

Developing a physics-informed and physics-penalized neural network model for preliminary design of multi-stage friction pendulum bearings

A Habib, U Yildirim - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Over the last few decades, the field of base isolation systems has made significant strides
forward by developing new systems to improve the behavior of isolated structures under …

Pipeline leak detection method based on acoustic-pressure information fusion

WL Wang, Y Gao - Measurement, 2023 - Elsevier
Pipeline transportation is one of the essential transportation means, and accurate detection
of pipeline leaks is of great significance for energy safety and environmental protection …