By leveraging AI-driven lifetime prediction, manufacturers can continuously monitor a robot’s operational status and accurately assess the condition of its components.
Are you ready to ensure maximum reliability with AI-based maintenance? Detect faults early, intelligently schedule maintenance and accurately track performance.
- Early fault detection – system based on AI monitors reduction gears and encoders, detecting data or communication errors and providing early warnings before failures occur.
- Custom maintenance scheduling – by analysing machine data, the system adapts maintenance thresholds to each customer’s environment, ensuring optimal servicing at the right time.
- Comprehensive operational tracking – with 365-day log data storage, engineers can review past performance trends and make informed maintenance decisions.
This proactive, AI-powered approach keeps robots running efficiently, reduces maintenance costs, and extends the lifespan of critical components. It helps companies achieve maximum productivity with minimal downtime.
.jpg?auto=webp&quality=100&format=jpg&disable=upscale)
