LEAK DETECTION AND LOCALIZATION OF THE PIPELINE SYSTEMS | ||||
The International Conference on Applied Mechanics and Mechanical Engineering | ||||
Article 126, Volume 13, 13th International Conference on Applied Mechanics and Mechanical Engineering., May 2008, Page 431-448 PDF (453.54 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/amme.2008.39757 | ||||
View on SCiNiTO | ||||
Authors | ||||
FOUAD M. M.1; Al-AWADI H.1; MOUSTAFA K.A. F.2; NAWARA G. M.3 | ||||
1Lecturer, Industrial Engineering Department, Faculty of Engineering, Zagazig University. | ||||
2Professor Industrial Engineering Department, Faculty of Engineering, Zagazig University. | ||||
3Professor and chief Industrial Engineering Department, Faculty of Engineering, Zagazig University. | ||||
Abstract | ||||
ABSTRACT Leaks of pipeline contribute to the environmental pollution, promote corrosion and equipment failures and produce instabilities in the pipeline operation and control. The paper purpose is to develop a mathematical model that accounts for the behavior of pressure and flow-rate profiles in a pipeline systems and also involves simulation of pipeline conditions using advanced models which describe the fluid behavior in pipeline systems. The resulting advanced nonlinear mathematical model provides precise information on the actual flow and pressure in the whole pipeline system and describes the behavior of the underlying system. The proposed leak detection and localization method evaluates the mismatch between actual variables and those of healthy pipeline to detect leak. The proposed method appears attractive due to its simplicity. The traditional leak detection and localization methods are very expensive as they require the measurement of total pipeline flow and other variables at many points and are likely to produce unsatisfactory results due to ignoring the transient changes in the product variables. | ||||
Keywords | ||||
Leak Detection; Leak Localization; Residual Time Average; fault diagnosis; Pipeline Systems; Kalman filter; State Estimation | ||||
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