Leak detection in pipelines based on hydraulic transient and genetic algorithm analysis
Received:September 28, 2007  
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DOI:10.7511/jslx20095009
KeyWord:hydraulic transient  leak detection  unsteady friction  genetic algorithm  inverse transient analysis
     
AuthorInstitution
郭新蕾 中国水利水电科学研究院 水力学研究所,北京
杨开林 中国水利水电科学研究院 水力学研究所,北京
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Abstract:
      Leaks in pipeline systems contribute to the damping and aberration of hydraulic transient events. Considering the effect of unsteady friction and leaks, the inverse transient model in time domain is established. The discrete grid and its calculation method are presented. The impact of changing leak size and position on the damping of pipeline transient are studied. The genetic algorithm is integrated into the method by minimizing the mean square error between modeled piezometric pressure magnitudes and measured date at points to identify the parameters of the leak. The time domain signals were first filtered using pre-filter and discrete wavelets. The model is applied to physical test with the calibrated unsteady friction, the results proved that the inverse transient model with genetic algorithm analysis is effective to identify leaks that may be difficult to find out by other methods as they are small and the maneuver of valve operation is simple.