Case Study
Minimizing Costly Downtime Through A Predictive Asset Monitoring Solution
Minimizing Costly Downtime Through A Predictive Asset Monitoring Solution Business Challenge It's not a matter of if a hydraulic hose will go bad, but a question of when. When hoses fail on a garbage truck or on heavy machinery, companies spend millions of dollars on hydraulic fluid cleanup, fines, remote service and medical costs that result from injuries. Solution 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. By extending this value service offering, Eaton’s customers have real-time access to their machine asset health, up-time, status and alarm thresholds. We helped a century-old Fort