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Computational methods for pipeline leakage detection and localization: A review and comparative study
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 …
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
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 …
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)
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 …
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 …
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
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 …
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 …
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
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 …
burst increases. These events can be very expensive due to water supply disruptions, and …
A review on different pipeline defect detection techniques
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 …
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 …
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 …
this paper proposes a modified leakage location method using multilayer perceptron neural …