Computational methods for pipeline leakage detection and localization: A review and comparative study

J Sekhavati, SH Hashemabadi, M Soroush - Journal of Loss Prevention in …, 2022 - Elsevier
Pipelines are one of the least expensive means of transporting fluids in long distances and
distributing fluids in large areas and cities. Fluids transported and distributed by pipelines …

Recent developments in model-based fault detection and diagnostics of gas pipelines under transient conditions

MM Syed, TA Lemma, SK Vandrangi, TN Ofei - Journal of Natural Gas …, 2020 - Elsevier
Gas pipelines are prone to faults due to aging, corrosion, and external factors. Undetected
faults can result in injuries, damage to properties, and environmental contamination. Several …

Pipeline leakage detection and isolation: An integrated approach of statistical and wavelet feature extraction with multi-layer perceptron neural network (MLPNN)

M Zadkarami, M Shahbazian, K Salahshoor - Journal of Loss Prevention in …, 2016 - Elsevier
Leakage diagnosis of hydrocarbon pipelines can prevent environmental and financial
losses. This work proposes a novel method that not only detects the occurrence of a leakage …

Improved PSO-based method for leak detection and localization in liquid pipelines

H Zhang, Y Liang, W Zhang, N Xu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Based on inverse hydraulic-thermodynamic transient analyses and on an improved particle
swarm optimization (PSO), a leak detection and localization method is proposed for liquid …

Pipeline leak diagnosis based on wavelet and statistical features using Dempster–Shafer classifier fusion technique

M Zadkarami, M Shahbazian, K Salahshoor - Process safety and …, 2017 - Elsevier
Leaks in hydrocarbon transporting pipelines cause major problems including environmental
hazards and financial losses. Many leakage diagnosis methods try to detect the leaks with a …

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 …

Event detection and localization in urban water distribution network

TTT Zan, HB Lim, KJ Wong, AJ Whittle… - IEEE Sensors …, 2014 - ieeexplore.ieee.org
Urban water supply and distribution infrastructure is aging rapidly and the frequency of pipe
burst increases. These events can be very expensive due to water supply disruptions, and …

A review on different pipeline defect detection techniques

S Razvarz, R Jafari, A Gegov, S Razvarz… - Flow modelling and …, 2021 - Springer
This chapter attempts to outline the pipeline failures and their impact on safety and
environmental risks besides causing blockages and leaks in pipe networks. Furthermore …

Probabilistic multiple model neural network based leak detection system: Experimental study

MB Abdulla, R Herzallah - Journal of Loss Prevention in the Process …, 2015 - Elsevier
This paper presents an effective decision making system for leak detection based on
multiple generalized linear models and clustering techniques. The training data for the …

[HTML][HTML] A modified leakage localization method using multilayer perceptron neural networks in a pressurized gas pipe

Q Wu, CM Lee - Applied Sciences, 2019 - mdpi.com
Featured Application To improve the leakage location accuracy in a pressurized gas pipe,
this paper proposes a modified leakage location method using multilayer perceptron neural …