Automated fault detection predicts electric motor failures

By Control Engineering Staff March 7, 2001

Istanbul, Turkey -New electric motor failure prediction technology, Artesis’ Motor Condition Monitor (MCM) software/hardware product, can automate fault detection without expert databases. Experimental modeling technology assesses the motor, without long training cycles or trend analysis. MCM is highly immune to external influences, especially vibration, and sensitive to mechanical faults, such as bearing faults. It is usually installed on or near motor control panels to provide diagnostic information. Artesis

At a glance…

Electric motor failure prediction technology

Model assesses motor without long training

Immune to external influences, such as vibration

Installs near motor control panels