The Artesis e-MCM is a powerful online condition monitoring, predictive maintenance, and power meter tool intended for AC rotating equipment. The patented machine learning algorithm of e-MCM enables comprehensive fault detection up to 6 months in advance. With around-the-clock monitoring and real-time model-based voltage and current analysis, e-MCM can detect electrical, mechanical, as well as process faults in fixed and variable speed motors and generators, providing all the benefits without the high complexity and cost of traditional systems.

e-MCM monitors your rotating equipment continuously, constantly taking measurements and comparing them with the digital twin it created during the self-learning process. Its unique machine learning algorithm allows it to recognise normal operation in a wide range of conditions, such as different speeds or loads—allowing tight control without false alarms. If e-MCM identifies a new operating state not experienced during the self-learning phase, it gives you the option of including this state in all future monitoring.

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