RT-ICM
AI Conditional Monitoring
Motor Current Signature Analysis (MCSA) is an advanced, non-intrusive condition monitoring technique that uses sophisticated algorithms to detect faults in electric motors by analyzing current waveforms while the motors remain in operation. By identifying unique current patterns associated with specific faults, MCSA enables predictive maintenance, minimizes downtime, prevents costly failures, and enhances overall operational efficiency.
AI-based conditional monitoring for motors and pumps
Overview
AI-based condition monitoring for motors and pumps, running inference right at the edge next to the equipment it's protecting. It learns the normal vibration, temperature and load signature of each asset, then flags the abnormal in real time — no cloud round-trip, no missed shift. Maintenance teams get an alert while a problem is still developing, not after a bearing has already seized. Built for plants where unplanned downtime costs far more than the sensor ever will.