Search In this Thesis
   Search In this Thesis  
العنوان
ANALYSIS OF FAULT DETECTION METHODS OF ELECTRICAL MOTORS
الناشر
MENOUFIYA UNIVERSITY . FACULTY OF ENGINEERING . SHEBIN EL-KOM ELECTRICAL ENGINEERING DEPARTMENT
المؤلف
Mahfouz , Mohamed Mahfouz Aly
تاريخ النشر
2005
عدد الصفحات
125
الفهرس
يوجد فقط 14 صفحة متاحة للعرض العام

from 164

from 164

المستخلص

Induction motors are most commonly used in many industrial areas because they are rugged, mechanically simple, adapted able to widely different operating conditions and easy to control. So, it is very important to keep this element run in any industrial. Induction motors as all types of rotating machines, have faced to the occurrence of faults. Induction machine faults can be classified from the protection point of view into traditional and untraditional faults. Traditional faults are the faults which the available methods of protection can prevent the motor from its effects such as over current, phase failure, phase sequence, earth fault ...etc, while, untraditional faults are the abnormal faults that the motor may face and normal methods of protections almost fail to define and prevent the motor from these types of faults. Such faults can only be detected through condition monitoring. The most common untraditional faults of squirrel cage induction motors are bearings, stator, and rotor faults. Academics studies and surveys show that the common electrical fault in induction motors is the stator insulation failure. Stator failure can be classified into, turn-to-turn, coil -to- coil, open circuit, phase-to-phase, and coil to ground. Turn -to-turn fault is one of the most difficult failures to detect. As the motor during turn-to-turn fault may be continue to run, but the heating in the shorted windings will soon cause severe faults like phase -to-phase or phase -to-earth. In this concern, turn-to-turn fault for both single phase and multi-phases are considered. In modem industry, the new trend is to focus attention and resources on fault detection and predictive maintenance strategies for industrial plant. Predictive maintenance of electrical motors is essential for any industry. The consequences of unexpected critical equipments failure include costly machinery repair, extended process down time, and health and safety problems.