Fuzzy Logic Based Induction Motor Condition Monitoring

Talaat, Hossam E. A.; Ezzat, Mohamed; Saleh, Ahmed Mohamed

doi:10.21608/iceeng.2014.30380

Fuzzy Logic Based Induction Motor Condition Monitoring

Document Type : Original Article

Authors

¹ Prof. Dr., Department of Electrical Power and Machines Engineering., Ain Shams University.

² Dr., Department of Electrical Power and Machines Engineering., Ain Shams University.

³ Department of BU LPLS Engineering ABB Egypt., Student Member IEEE.

10.21608/iceeng.2014.30380

Abstract

This paper introduces a new technique for condition monitoring of motor control centres, to define the motor status and reduce the failure rate of AC motors. Motor stresses defined , and categorized into loading stresses and supply stresses and then two factors are introduced to assess the motor condition, loading stress factor and supply stress factor, using these two factors a reliable motor index is introduced, which defines well the motor status and helps the plant operator to develop an effective predictive and preventative maintenance program. An intelligent fuzzy logic motors condition monitoring system is developed , MATLAB/Simulink model is built to simulate the proposed system.

Keywords