In our center projects, we bring together students and faculty with company engineers to investigate, research, and develop company-specific IoT and industrial analytics technologies. We help our member companies gain a competitive advantage through deeper understanding, accelerated innovation and development, and successful deployment and adoption of IoT and industrial analytics.
Overall Research Objective
Quickly and effectively detect and predict system faults/failures, identify underlying root causes, and define maintenance or operational decisions for complex engineering systems to improve reliability, performance, safety, and cost-effectiveness.
Significant business impact
- Productivity: improved performance and uptime
- Service: first time/call resolution and parts availability
- Safety and risk mitigation
- Total cost of ownership
Examples of Industry Collaboration
- Mercury Marine – Warranty/Service data analysis to support engine diagnostics for customer service.
- Toyota Material Handling NA – Equipment failure predictive analytics for guiding service decision-making.
- Welbilt – Data analytics for predictive maintenance and productivity improvement of IoT enabled commercial kitchen appliances.
- Zurn Industries – Event modeling and analysis.
Type of Projects
Precompetitive research projects
Precompetitive research projects are open to member companies and allows each company one project a year at no cost. The final project report will be in the form of a written report and/or presentation. This type of project is precompetitive in nature and the project results may be shared with member companies.
Company-specific proprietary projects
Company-specific proprietary projects are sponsored by a specific company. The scope and duration are project-specific. The project findings will be protected by an explicit IP agreement negotiated between the university and the company.
GAINING COMPETITIVE ADVANTAGES FOR MEMBER COMPANIES
- Provide assistance to investigate company-specific engineering problems related to IoT and industrial analytics
- Build close collaboration between university and companies
- Provide collaborative learning opportunities for company professionals
- Provide training opportunity for undergraduate/graduate students
- Provide a way for companies to access student talent