The National Science Foundation (NSF) awarded a $350,000 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Case Western Reserve University (CWRU) for the development of affordable and generalizable predictive maintenance (PM) solutions for small and medium manufacturers (SMMs). The key objectives of this 2-year project are to: (1) design a self-powered edge device integrating sensors, energy harvesting, and machine learning algorithms for real-time equipment monitoring and diagnosis; (2) create a scalable, self-updating machine learning-based tool for equipment diagnosis and prognosis; and (3) establish an integrated edge-cloud computing infrastructure for efficient deployment of these solutions on the shop floor. The project aims to reduce unexpected machine downtimes and maintenance costs for SMMs, ultimately advancing the state of predictive maintenance in the manufacturing industry. The anticipated technical results include high detection accuracy, reduced maintenance costs, and improved machine uptime.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $350.0k | 7/3/25 |