Digi Case Studies Minimizing Downtime through Predictive Asset Monitoring

	Minimizing Downtime through Predictive Asset Monitoring Digi

Minimizing Downtime through Predictive Asset Monitoring

Digi

Applicable Industries	Equipment & Machinery
Applicable Functions	Quality Assurance
Use Cases	Predictive Maintenance Log in to view content
Challenge	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. Read More
Customer	Eaton is a power management company providing energy-efficient solutions with approximately 102,000 employees and sells products to customers in more than 175 countries. Read More
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. Eaton’s customers can also have real-time access to their machine asset health, uptime, status and alarm thresholds. Software Components - Wireless monitoring system Read More Log in to view content
Data Collected	Alarms For Automated Applications, Asset Performance, Asset Status Tracking, Machine Performance, Uptime Read More Log in to view content
Solution Type	IOT Read More Log in to view content
Solution Maturity	Emerging (technology has been on the market for > 2 years) Read More Log in to view content
Contents

Applicable Industries

Equipment & Machinery

Applicable Functions

Quality Assurance

Use Cases

Challenge

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.

Customer

Eaton is a power management company providing energy-efficient solutions with approximately 102,000 employees and sells products to customers in more than 175 countries.

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. Eaton’s customers can also have real-time access to their machine asset health, uptime, status and alarm thresholds. Software Components - Wireless monitoring system

Data Collected

Alarms For Automated Applications, Asset Performance, Asset Status Tracking, Machine Performance, Uptime

Solution Type

IOT

Solution Maturity

Emerging (technology has been on the market for > 2 years)

Impact #1	[Efficiency Improvement - Maintenance] Real-time status reports enable maintenance personnel to remotely diagnose the status of a device and keep assets running longer.
Impact #2	[Efficiency Improvement - Time To Market] Downtime tied to breakdowns is minimized due to Digi's solution which accelerate time-to-market .
Impact #3	[Data Management - Data Analysis] Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.

Impact #1

[Efficiency Improvement - Maintenance]
Real-time status reports enable maintenance personnel to remotely diagnose the status of a device and keep assets running longer.

Impact #2

[Efficiency Improvement - Time To Market]
Downtime tied to breakdowns is minimized due to Digi's solution which accelerate time-to-market .

Impact #3

[Data Management - Data Analysis]
Cloud solutions enable aggregation of 'big data' to enable more robust analysis and lower costs.

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Overview

Minimizing Downtime through Predictive Asset Monitoring

Operational Impact