Mohamed Salah Eldin Ahmed Abdelaziz <br/><br/>
An artificial intelligence based approach for high impendence fualts analysis in distribution systems using adaptive neuro fuzzy inference systems /  
 تحليل الاعطال الناجمة عن المعاوقات الكبيرة فى شبكات التوزيع باستخدام النظام الاستنتاجى للمنطق المشوش العصبى المتكيف 
Mohamed Salah Eldin Ahmed Abdelaziz ; Supervised Essam Abouelzahab , M.A. Moustafa Hassan 
 - Cairo :   Mohamed Salah Eldin Ahmed Abdelaziz ,   2011 
 - 83 P. :   charts , facsimiles ;   30cm 
<br/><br/>Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines 
<br/><br/> In this research the application of adaptive Neuro - Fuzzy Inference System (ANFIS) for protection of distribution systems is introduced . The ANFIS can be viewed as a fuzzy system a neural network or fuzzy neural network . The objective of this research is firstly to detect the high impendence fualt occurrence secondly to classify the fault type and deduce if it is single line to ground double lines to ground triple lines to ground or line to line 
<br/><br/>
<br/><br/><label>Subjects--Index Terms: </label>Adaptive neuro fuzzy inference system  Discrete fourier transform  High impendence fualts