Robot Predictive Maintenance uses sensor data and intelligent analysis to identify potential problems before they cause a robot failure. Sensors can continuously monitor motor current, voltage, temperature, vibration, speed, encoder signals, gearbox condition, and operating cycles. By observing changes in these parameters, a maintenance system can detect abnormal behavior that may indicate developing faults. Unlike […]