Valve Failure Real Time Monitoring

Manufacturing environments such as steel mills subject equipment like motors and valves to extreme wear which can lead to premature failure. Such equipment may be critical to production, warranting unplanned downtime would it fail. Unplanned downtime risks higher maintenance costs, underutilized workers, and scrapped product. Because of this, regular preventative maintenance and replacement of equipment is required to keep productivity at its peak. However, the quantity of equipment to be maintained prohibits traditional testing and monitoring. In its place, data-based anomaly detection can warn of upcoming failures and aid in troubleshooting, allowing for better downtime management and process efficiency.

Deployed at F500 plant: Run-out table Valve monitoring

Impact: $1M estimated rework savings, estimated 4000+ Mins of downtime prevented (currently being measured)