Live Monitoring
Tracks temperature, vibration, current, speed, and device status with live, stale, and offline states clearly separated.
Platform
MotorHealth AI is designed to help plant teams move from “something looks wrong” to “this is the asset to inspect first, here is why, and here is the recommended next step.”
Tracks temperature, vibration, current, speed, and device status with live, stale, and offline states clearly separated.
Ranks assets by risk, confidence, urgency, evidence, and estimated business exposure.
Shows the sensor evidence, likely failure mode, estimated downtime exposure, and recommended maintenance action.
Stores asset details, motor profile, operating assumptions, and maintenance context so AI decisions are grounded.
Escalates only after repeated confirmation so teams are not distracted by one noisy spike.
Creates a draft maintenance action with evidence, urgency, recommended role, and completion feedback.
The engine combines real-time data, baseline behavior, sensor health, asset profile, and business assumptions to support maintenance decisions.
MotorHealth AI separates FIELD_LIVE, BENCH_TEST, and SIMULATED data so customers understand what is real production evidence and what is demonstration or commissioning data.