Reliability AI monitors rotating equipment through Electrical Current Signature Analysis (ECSA) — reading the current and voltage waveforms already available at the motor control center to detect both electrical faults (phase-to-phase short circuits, loose lug connections, voltage imbalance, broken rotor bars) and mechanical faults (bearing wear, shaft misalignment, cavitation, gearbox degradation) from the same signal.

It isn't new technology — it's a deeper application of current signature analysis most plants already use for protection and metering. We apply a Fast Fourier Transform (FFT) to the waveform to isolate discrete fault frequencies and track how their amplitude changes over time, so your team gets a warning before a fault becomes a failure — validated by a human analyst, not just an algorithm.