In today’s competitive manufacturing landscape, unplanned downtime is the single biggest threat to productivity and profitability. Electric motors drive critical processes across industries, yet even minor, undetected faults can trigger costly stoppages.
Our Solution: Motor Current Signature Analysis (MCSA) — a non-invasive, real-time monitoring system that transforms raw electrical current into actionable intelligence, keeping your motors healthy and your operations uninterrupted.
Current signals are continuously captured and streamed to your control room, empowering engineers with live, actionable insights.
Subtle waveform variations are analyzed using AI/ML models to detect anomalies invisible to manual observation.
Fast Fourier Transform converts current data into frequency signatures, revealing fault-specific peaks linked to mechanical or electrical issues.
MCSA identifies bearing wear, rotor bar cracks, eccentricity, misalignment, and unbalance — all without physical inspection.
A simple green–yellow–red scoring system communicates motor health at a glance, enabling fast and confident decision-making.
With MCSA, every motor becomes a data-driven asset. Transform maintenance from guesswork into foresight — unlock the intelligence that powers industry.