A new small leakage detection method based on capacitance array sensor for underground oil tank

2022 ◽  
Author(s):  
Lipin Li ◽  
Huan Chen ◽  
Yanqun Huang ◽  
Guochao Xu ◽  
Pengli Zhang
Keyword(s):  
Detection Method ◽  
Leakage Detection ◽  
Array Sensor ◽  
Oil Tank

Study on Field Demonstration of High Sensitivity SF6 Leakage Detection Method for Gas Insulated Switchgear

2020 ◽  
Vol 140 (5) ◽  
pp. 409-414
Author(s):  
Masaru Tatemi ◽  
Hisao Inami ◽  
Toshiaki Rokunohe ◽  
Makoto Hirose
Keyword(s):  
Detection Method ◽  
High Sensitivity ◽  
Leakage Detection ◽  
Gas Insulated Switchgear

The Leakage Detection Method of Water Supply System by Regional Model

2011 ◽  
Vol 393-395 ◽  
pp. 1018-1023
Author(s):  
Hong Li Zou
Keyword(s):  
Water Supply ◽  
Detection Method ◽  
Regional Model ◽  
Supply System ◽  
Water Supply System ◽  
The Other ◽  
Leakage Detection ◽  
Regional Network ◽  
Rational Planning ◽  
Whole Water

The losing ratio of leakage in the process of water supply is about 10%-30% in total. However, the existing water supply system has no rational planning and distribution. On the other hand, it is growing fast. It is a challenge to check the leakage in whole water supply network. This paper tries to present a solution to ensure that the regional network runs reasonably and safely, which is building a regionalization of the detected model.

4462249 Tank leakage detection method

Vacuum ◽  
1985 ◽  
Vol 35 (1) ◽  
pp. 61
Author(s):  
Thomas E Adams
Keyword(s):  
Detection Method ◽  
Leakage Detection

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.

Insider Information Leakage Detection Method using Scenario Technique

2020 ◽  
Vol 21 (3) ◽  
pp. 617-626
Author(s):  
Ju Young Lee ◽  
Goo Yeon Lee ◽  
Ho Yeol Kwon
Keyword(s):  
Detection Method ◽  
Information Leakage ◽  
Leakage Detection ◽  
Insider Information ◽  
Scenario Technique
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