New Funding for Machinery Prognostics Research

SRSL has received research funding from the National Science Foundation (NSF) for the project titled “PFI-TT: Physics-based Deep Transfer Learning for Predictive Maintenance of Industrial and Agricultural Machinery”. This two-year project ($240K in total) will create an industrial internet of things (IIoT) platform for practical and scalable predictive maintenance of rotating machinery. It will be carried out through collaboration with Dr. Simon Laflamme (CCEE at ISU), Dr. Matthiew Darr (ABE at ISU), Mr. Carey Novak (CIRAS at ISU), and Dr. Andy Zimmerman (Grace Engineered Products, Inc.).

CoE researchers to develop safer, more reliable machines with new grant