Minimizing Downtime through Predictive Asset Monitoring
- Analytics & Modeling - Predictive Analytics
- Functional Applications - Remote Monitoring & Control Systems
- Business Operation
- Predictive Maintenance
It is not a matter if a hydraulic hose will fail, but a matter of when. When hydraulic hoses fail on a garbage truck or on heavy machinery, Eaton's customers spend millions of dollars on hydraulic fluid cleanup, fines, remote service and medical costs that result from injuries.
Digi designed a wireless monitoring system to predict hose failure before an issue occurs. By proactively monitoring the health of the hydraulic hoses on widely deployed assets, Eaton was able to extend visibility into their customers’ machine assets. Eaton’s customers can also have real-time access to their machine asset health, uptime, status and alarm thresholds. Software Components - Wireless monitoring system