Project Grant 2421921

This National Science Foundation (NSF) Engineering (CFDA 47.041) Project Grant award provides $398,786 to North Carolina State University (NC State) to develop a privacy-preserving collaborative condition monitoring and decision-making methodology for distributed manufacturing systems. The research aims to enable multiple geographically dispersed manufacturing facilities to collectively utilize their data for constructing effective monitoring and decision-making models, while preserving the confidentiality of each system's data. The four-year project from August 2024 to July 2027 will develop techniques such as federated learning, statistical learning, and industrial data analytics to handle diverse manufacturing data formats and enhance equipment reliability, reduce costs, and prevent failures. This work aligns with NSF's mission to promote scientific progress and advance national health, prosperity, and welfare. No subawards are planned under this grant.