Leakage Detection in Underground Gas Pipeline

2019 ◽  
Vol 7 (6) ◽  
pp. 732-736
Author(s):  
Renuka Kishor Kale ◽  
S. L. Nalbalwar ◽  
S. B. Deosarkar ◽  
Sachin Singh
Keyword(s):  
Gas Pipeline ◽  
Leakage Detection

Experimental Analysis of Distributed Fiber Optic Underwater Natural Gas Pipeline Leakage Detection System

2014 ◽  
Vol 51 (11) ◽  
pp. 110602 ◽  
Author(s):  
黄悦 Huang Yue ◽  
王强 Wang Qiang ◽  
杨其华 Yang Qihua ◽  
章仁杰 Zhang Renjie
Keyword(s):  
Natural Gas ◽  
Experimental Analysis ◽  
Fiber Optic ◽  
Detection System ◽  
Gas Pipeline ◽  
Leakage Detection ◽  
Natural Gas Pipeline

scholarly journals Research on oil-gas Pipeline Leakage Detection Method Based on Particle Swarm Optimization Algorithm Optimized Support Vector Machine

2021 ◽  
Vol 2076 (1) ◽  
pp. 012004
Author(s):  
Jianfeng Gao ◽  
Yu Zheng ◽  
Kai Ni ◽  
Huaizhi Zhang ◽  
Bin Hao ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Working Conditions ◽  
Detection Method ◽  
Leak Detection ◽  
Gas Pipeline ◽  
Support Vector ◽  
Leakage Detection ◽  
Swarm Optimization ◽  
Svm Algorithm ◽  
Oil Gas

Abstract In order to solve the problem of low accuracy in oil-gas pipeline leak detection, a pipeline leak detection method based on Particle Swarm Optimization (PSO) algorithm optimized Support Vector Machine (SVM) is introduced. This method uses PSO to solve the penalty factor ‘c’ and kernel function parameter ‘g’, and constructs the pipeline leakage detection model of SVM. We set up an experimental platform to collect negative pressure wave signals under different working conditions. After wavelet domain denoising and data preprocessing, four eigenvalues of Mean, Standard Deviation, Kurtosis and Skewness are extracted from the signals to form the eigenvector samples, which are taken as input of SVM, and four working conditions of normal, leakage, rise and fall are taken as output. Through experimental verification, the comprehensive performance of PSO-SVM algorithm is better than that of traditional SVM, Genetic Algorithm optimized SVM and grid search algorithm optimized SVM. The POS-SVM algorithm can be applied to the leak detection of oil-gas pipeline.

Gas pipeline leakage detection based on sensor fusion under model-based fault detection framework

2020 ◽  
Vol 184 ◽  
pp. 106581 ◽  
Author(s):  
Roya Doshmanziari ◽  
Hamid Khaloozadeh ◽  
Amirhossein Nikoofard
Keyword(s):  
Fault Detection ◽  
Sensor Fusion ◽  
Gas Pipeline ◽  
Leakage Detection ◽  
Model Based

Gas pipeline leakage detection based on acoustic technology

2013 ◽  
Vol 31 ◽  
pp. 1-7 ◽  
Author(s):  
Wei Liang ◽  
Laibin Zhang ◽  
Qingqing Xu ◽  
Chunying Yan
Keyword(s):  
Gas Pipeline ◽  
Leakage Detection

Design of Interference Distributed Fiber-Optic Underwater Long Gas Pipeline Leakage Detection System

2012 ◽  
Vol 49 (7) ◽  
pp. 070602
Author(s):  
胡正松 Hu Zhengsong ◽  
杨其华 Yang Qihua ◽  
乔波 Qiao Bo
Keyword(s):  
Fiber Optic ◽  
Detection System ◽  
Gas Pipeline ◽  
Leakage Detection
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