Optimize maintenance activities and reduce unplanned downtime with advanced notice of upcoming asset failures provided by FactoryTalk® Analytics™ GuardianAI™. When maintenance engineers understand the health of the assets on the plant floor, they can plan their tasks efficiently. FactoryTalk Analytics GuardianAI provides continuous condition-based monitoring, alerting the maintenance team when an asset begins to show signs of degradation and providing insights into the most probable cause of failure. With this information, they can plan when to perform the required repair and confirm they have the necessary resources and parts on hand. Repair times are reduced and costly unexpected downtime is avoided.
Machine learning for predictive maintenance at the edge
- Use existing devices as sensors. Get more insights out of your existing equipment data.
- No data science require. Empower your OR professionals with easy-to-use machine learning
- Advance from anomaly detection to anomaly identification. Minimize investigation time with context about the type of failure that is going to occur
- Analyze at the edge. Train and run right at the edge for near real time predictions
Key Benefits
Favored by 80% of maintenance personnel as part of a multi-faceted maintenance strategy.
Monitor common and critical assets on the plant floor
Identify anomalies before they become critical
Reduce time spent investigating equipment failures
Plan maintenance based on each assets condition
Minimize unplanned downtime and maintenance costs
Predictive maintenance via condition monitoring
Can reduce downtime by 30% – 50%, and increase machine life by 20% – 40%.