AI Predictive
Maintenance
Predict machine failures before production stops by combining condition data, operating history and AI-assisted diagnosis into a prioritized maintenance plan.
From machine signals to maintenance action
Use measured vibration, temperature, current, operating hours and maintenance context. The deterministic health score works in Demo Mode; Live AI adds diagnosis and action planning from the same shared API.
Condition Monitoring
Track vibration, bearing temperature, motor current and operating conditions.
Failure Risk
Prioritize assets by severity instead of waiting for breakdown maintenance.
Maintenance Plan
Convert detected abnormal conditions into verification checks and planned interventions.
Machine condition analyzer
Enter actual measured values where possible. Thresholds are illustrative until calibrated for the specific machine, sensor location and OEM limits.
Machine Data
One shared API powers every ROBOTCO AI page.
Results will appear here.
Industrial implementation path
Sensors & PLC
Vibration, temperature, current, speed and machine state.
Normal behavior
Establish machine-specific limits and known fault signatures.
Maintenance workflow
Alert, verify, plan intervention, close work order and learn from outcome.