Toward Sustainable Water Infrastructure: The State‐Of‐The‐Art for Modeling the Failure Probability of Water Pipes

R Taiwo, MEA Ben Seghier… - Water Resources …, 2023 - Wiley Online Library
Failures of water distribution networks (WDNs) are rising at an exponential rate,
necessitating immediate attention. An effective way to reduce the failure rate is to develop …

Evaluation of deep learning approaches for oil & gas pipeline leak detection using wireless sensor networks

C Spandonidis, P Theodoropoulos… - … Applications of Artificial …, 2022 - Elsevier
Pipelines are one of the most common systems for storing and transporting petroleum
products, both liquid and gaseous. Despite the durable structures, leakages can occur for …

[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 …

Data-driven approaches and model-based methods for detecting and locating leaks in water distribution systems: a literature review

W Nimri, Y Wang, Z Zhang, C Deng… - Neural Computing and …, 2023 - Springer
Water distribution systems are made up of interconnected components that should allow
water systems to meet demand, but leaks can waste enough water to limit supply. To limit …

Natural gas pipeline leak diagnosis based on improved variational modal decomposition and locally linear embedding feature extraction method

J Lu, Y Fu, J Yue, L Zhu, D Wang, Z Hu - Process Safety and Environmental …, 2022 - Elsevier
Natural gas pipeline leaks can cause serious hazards to natural gas transportation and pose
considerable risks to the environment and the safety of residents. Therefore, feature …

Deeppipe: Theory-guided neural network method for predicting burst pressure of corroded pipelines

Y Ma, J Zheng, Y Liang, JJ Klemeš, J Du, Q Liao… - Process Safety and …, 2022 - Elsevier
Crude oil and natural gas are the primary energy sources, mainly transported by pipelines.
Pipeline safety has to be seriously considered to ensure the continuous and stable …

Leakage detection in natural gas pipeline based on unsupervised learning and stress perception

X Miao, H Zhao, Z Xiang - Process Safety and Environmental Protection, 2023 - Elsevier
Natural gas pipeline leakage can cause serious financial losses to natural gas
transportation and pose accidents to the environmental safety. Currently-used supervised …

Machine learning modeling for spectral transient-based leak detection

V Asghari, MH Kazemi, HF Duan, SC Hsu… - Automation in …, 2023 - Elsevier
Abstract This paper describes Machine Learning (ML)-based framework to detect leaks in
pipes using transient waves. The so-called Transient-Based Leak Detection (TBLD) …

A combined semi-supervised deep learning method for oil leak detection in pipelines using IIoT at the edge

C Spandonidis, P Theodoropoulos, F Giannopoulos - Sensors, 2022 - mdpi.com
Pipelines are integral components for storing and transporting liquid and gaseous petroleum
products. Despite being durable structures, ruptures can still occur, resulting not only in …

Underwater gas leak detection using an autonomous underwater vehicle (robotic fish)

S Hu, A Feng, J Shi, J Li, F Khan, H Zhu, J Chen… - Process Safety and …, 2022 - Elsevier
Gas leaks from subsea oil and gas facilities could cause significant ocean environment
damage. Such leaks can cause fire and explosion, for example, a fire on the ocean surface …