Iowa State University researchers are working on developing safer and more reliable machines under a new grant and they're consulting with our Chief Technology Officer, Andy Zimmerman for his expertise in wireless sensing and communication.
A research team lead by assistant professor of mechanical engineering, Chao Hu, received a $239,509 grant award for their efforts in a program they call, "PFI-TT: Physics-based Deep Transfer Learning for Predictive Maintenance of Industrial and Agricultural Machinery". Here's what Hu had to say about the project:
The core of our IIoT platform is a new deep learning solution that provides more accurate and robust failure prediction than current solutions and can be easily deployed across multiple types of machines. The solution will be implemented on Grace Engineered Products’ existing, industrially hardened IIoT platform, where a network of smart devices monitor machine vibrations and predict machine failures on the edge, and then send prediction results to a web-based Maintenance Hub that provides real-time analytics, dashboards and alert capabilities.
Chao attended our GraceSense Predictive Maintenance System launch event back in April and gave a presentation on their project and how they will be working with Grace for consultation. You can read the full story and learn about Grace's involvement here.
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