INTELIGENT PREDICTIVE MAINTANANCE FOR THE FAULT DIAGNOSIS OF THE ELECTRIC INDUCTION MOTOR

Emilia Maria CAMPEAN, Claudiu Ioan ABRUDAN, Mircea Cornel ARION

Abstract


Digitalization of industrial activities assures a higher production volume and the exploitation in optimal conditions with high performance of industrial systems. These objectives are related with preventing malfunctions caused by faulty equipment. Industrial system digitalization combines the equipment with facilities like: IoT, Machine Learning or Big Data. Accidental machinery failure can be eliminated with the help of new technologies. Fault diagnosis and monitoring conditions have been studied aiming to prevent the occurrence of industrial installations interruption due to engine failure. The paper analysis the trends of industrial maintenance and real-time identification of possible defects in the beginning state of wear. Its analysis the monitor and faults diagnosis of electric motor to increase operational safety using the vibration analysis method.

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