University of Maine Process Development Center Modernizes Paper Web Handling to Eliminate $20K/Event Downtime
University of Maine Process Development Center deployed Predictive ML for Predictive Maintenance in Industrial Machinery. As reported by rockwellautomation.com: $20,000 cost per downtime event.
Source-reported figures — cited source: rockwellautomation.com
What University of Maine Process Development Center was trying to fix
The University of Maine's Process Development Center faced increasing breakdowns from a 35-year-old paper machine drive system, with downtime incidents costing manufacturing clients up to $20,000 per event. Parts unavailability delayed return to production by a week or more, threatening the PDC's operations, budget, and reputation.
What University of Maine Process Development Center deployed
Packaging Corporation of America funded a modernization using Rockwell Automation's Paper Web Handling Coordinated Drive System Solution, including PremierSystems Toolset, Enhanced TrendPlus high-speed data acquisition, and PowerFlex 755T AC drives with predictive diagnostics. Students' capstone project developed the scope of work.
Results
The modernization will provide reliable pilot paper machine performance, maximize machine availability, and minimize project risk. Predictive diagnostics built into the drives will provide early warnings of component life and upcoming failures, reducing unscheduled downtime and repair expenses.
Key Takeaways
• Coordinated drive system standards simplify complex paper web handling challenges from nip control to roll profile building • Embedding predictive diagnostics directly in drives eliminates the need for separate condition monitoring hardware • Industry-academia partnerships can fund critical infrastructure upgrades that benefit both sides
Evidence for University of Maine Process Development Center's Predictive Maintenance deployment
- Reported outcome metrics
- 1 cited below
- Cited source
- rockwellautomation.com
- Last updated
Explore Related
Vendor
Details
- Industry
- Industrial Machinery
- Use Case
- Predictive Maintenance
- AI Technology
- Predictive ML
- Company Size
- SME
- Company
- University of Maine Process Development Center
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