Mahmoud Mohamed Abdallah Elhadidy <br/><br/>
Leakage detection in water pipe networks using artificial neural networks technique /  
 إكتشاف التسرب في شبكات المياه بإستخدام تقنية الشبكات العصبيه 
Mahmoud Mohamed Abdallah Elhadidy ; Supervised Ahmed Wagdy Abdeldayem , Mohamed Gad Elrab Hafiz 
 - Cairo :   Mahmoud Mohamed Abdallah Elhadidy ,   2018 
 - 171 P. :   maps , charts , facsimiles ;   30cm 
<br/><br/>Thesis (Ph.D.) - Cairo University - Faculty of Engineering - Department of Civil Engineering 
<br/><br/> Among different reasons, leakage from water pipe network is one of great reasons for water losses.  In this study, a computational approach is followed to formulate a framework for detecting leakages in water distribution networks using (ANNs) technique. The main objective of this research is to formulate a simple, yet effective leakage detection system appropriate for water supply networks. Minimum number of sensors that can perfectly simulate leakage location and discharge in the studied networks are identified. The developed integrated framework is applied at Ismailia Water Pipe network. A reliable alternative for simulating leakage at water supply networks is obtained 
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<br/><br/><label>Subjects--Index Terms: </label>ANN Water leakage Water pipe networks