Improved PSO-Based Method for Leak Detection and Localization in Liquid Pipelines

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 pipelines. The finite volume method is employed to numerically model the continuity, momentum, and energy equations. To de...

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Bibliographic Details
Published in:IEEE transactions on industrial informatics 2018-07, Vol.14 (7), p.3143-3154
Main Authors: Zhang, Haoran, Liang, Yongtu, Zhang, Wan, Xu, Ning, Guo, Zhiling, Wu, Guangming
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Algorithms
Continuity (mathematics)
Correlation
False alarms
Finite volume method
Improved particle swarm optimization (PSO)
inverse hydraulic–thermodynamic transient analysis
Leak detection
leak detection and location
liquid pipelines
Localization
Localization method
Mathematical model
Mathematical models
Particle swarm optimization
Petroleum pipelines
Pipelines
Robustness (mathematics)
Stability analysis
Thermodynamics
Transient analysis
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Summary: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 pipelines. The finite volume method is employed to numerically model the continuity, momentum, and energy equations. To determine the optimum-improved PSO algorithm and corresponding parameters, four types of algorithms were used for the analyses of a virtual pipeline. Accuracy, stability, robustness, and false alarm rate tests were conducted. The SIPSO algorithm has been shown to outperform the other algorithms. Two oil pipelines were utilized as example cases in conjunction with the use of the SIPSO algorithm. One of these pipelines was involved in a field opening experiment, while the other was involved in a real leak accident. The results demonstrated that smaller relative errors were achieved with the proposed method for the estimations of the location, coefficient, and starting time of the leak.
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2018.2794987