Case Study: Eaton achieves predictive asset monitoring and reduced downtime with Digi International

Minimizing Costly Downtime Through A Predictive Asset Monitoring Solution

Eaton, a power management company, faced a costly challenge: hydraulic hoses on garbage trucks and heavy machinery can fail without warning, leading to downtime, cleanup expenses, fines, service costs, and even injuries. It needed better visibility into asset health to keep machines running safely and reliably, and worked with Digi International on a predictive asset monitoring solution.

Digi International designed a wireless monitoring system to predict hose failure before problems occurred. The solution gave Eaton’s customers real-time access to machine health, uptime, status, and alarm thresholds, helping extend service value and create a new revenue stream. The measurable impact was reduced costly downtime and longer asset run times through predictive monitoring.

Eaton