Mohamed Shaaban Mahmoud Badawi

Detection and measurements of voltage sag on low voltage three phase induction motors using neural networks / تشخيص وقياس الانخفاض اللحظى للجهد الكهربى على محركات الجهد المنخفض الحثية ذات الثلاثة أوجه باستخدام الشبكات العصبية Mohamed Shaaban Mahmoud Badawi ; Supervised M. Mamdouh Abelaziz , Doaa Khalil Ibrahim - Cairo : Mohamed Shaaban Mahmoud Badawi , 2011 - 129 P. : charts , facsimiles ; 30cm

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines

Power quality has become increasingly important for industrial and commercial electric power customers , particularly as today's manufacturing and control processes rely on computerized equipment which is sensitive to power syastem interruptions and disturbances . Voltage sag is among the major power quality disturbances that can cause substantial loss of product and also can attribute to malfunctions, instabilities and shorter lifetime of the load



Induction Motor Behavior Power quality short interruptions Voltage sag ( dip ) source detection and classification