The Leak Detection Method Using GA and HS Algorithm

2003 ◽  
Author(s):  
Sanghyun Kim ◽  
Hyundong Lee
Keyword(s):  
Detection Method ◽  
Leak Detection

Development of a timesaving leak detection method for brick-type packages

2007 ◽  
Vol 82 (3) ◽  
pp. 324-332 ◽  
Author(s):  
Vijaykrishna Sivaramakrishna ◽  
Frank Raspante ◽  
Sevugan Palaniappan ◽  
Melvin A. Pascall
Keyword(s):  
Detection Method ◽  
Leak Detection

scholarly journals A Small Leak Detection Method Based on VMD Adaptive De-Noising and Ambiguity Correlation Classification Intended for Natural Gas Pipelines

Sensors ◽  
2016 ◽  
Vol 16 (12) ◽  
pp. 2116 ◽  
Author(s):  
Qiyang Xiao ◽  
Jian Li ◽  
Zhiliang Bai ◽  
Jiedi Sun ◽  
Nan Zhou ◽  
...  
Keyword(s):  
Natural Gas ◽  
Detection Method ◽  
Leak Detection ◽  
Gas Pipelines ◽  
Natural Gas Pipelines ◽  
Small Leak

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.

scholarly journals Transient frequency response based leak detection in water supply pipeline systems with branched and looped junctions

2016 ◽  
Vol 19 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Huan-Feng Duan
Keyword(s):  
Water Supply ◽  
Frequency Response ◽  
Numerical Experiments ◽  
Detection Method ◽  
Leak Detection ◽  
Transient Responses ◽  
Practical Applications ◽  
Supply Pipe ◽  
Pipeline Systems ◽  
Water Supply Pipeline

The transient frequency response (TFR) method has been widely developed and applied in the literature to identify and detect potential defects such as leakage and blockage in water supply pipe systems. This type of method was found to be efficient, economic and non-intrusive for pipeline condition assessment and diagnosis, but its applications so far are mainly limited to single and simple pipeline systems. This paper aims to extend the TFR-based leak detection method to relatively more complex pipeline connection situations. The branched and looped pipe junctions are firstly investigated for their influences to the system TFR, so that their effects can be characterized and separated from the effect of other components and potential leakage defects in the system. The leak-induced patterns of transient responses are derived analytically using the transfer matrix method for systems with different pipe junctions, which thereafter are used for the analysis of pipe leakage conditions in the system. The developed method is validated through different numerical experiments in this study. Based on the analytical analysis and numerical results, the applicability and accuracy as well as the limitations of the developed TFR-based leak detection method are discussed for practical applications in the paper.

A Nondestructive Leak Detection Method for Flexible Food Packages Using Hydrogen as a Tracer Gas

1998 ◽  
Vol 61 (9) ◽  
pp. 1165-1169 ◽  
Author(s):  
EERO U. HURME ◽  
RAIJA AHVENAINEN
Keyword(s):  
Detection Method ◽  
Test Chamber ◽  
Microbiological Quality ◽  
Hydrogen Sensor ◽  
Leak Detection ◽  
Test Method ◽  
Research Centre ◽  
Tracer Gas ◽  
Leak Testing ◽  
On Line

A nondestructive leak detection method developed at Technical Research Centre of Finland (VTT) was tested for both gas-flushed and vacuum flexible packages. In the method, a gas package containing 0.5 to 5.0% (vol/vol) hydrogen in nitrogen was positioned in a test chamber, a controlled vacuum was pulled in the chamber through a pipe connected to a hydrogen sensor, and leaking packages were detected by the sensor as increased H2 concentration. The H2 tracer gas (0.5 to 5.0%) was introduced into leaking finished vacuum packages at 200 kPa pressure. Within 1 to 4 s the developed test method was able to detect leaks down to 10 to 15 pm and 20 to 30 pm in diameter in commercially manufactured gas-flushed packages filled with roasted meat balls and vacuum packages filled with ground coffee, respectively. Before leak testing, the vacuum packages were charged with H2 for 30 s. The sensitivity and leak detection time of the test method were improved when the H2 concentration in the package was increased and when the free space in the test chamber was decreased. The evaluated H2 concentrations did not affect the sensory or microbiological quality of the roasted meat balls. This study clearly demonstrated that the hydrogen tracer gas leak detection method has potential to be further developed as a fast, nondestructive, on-line leak testing apparatus for flexible packages with or without a headspace.

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