Cooperative Agreement 70NANB18H240

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...

Techsolve, Inc. was awarded a $100,000 cooperative agreement from the Department of Commerce National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards program. The award will support the development of a procedure for generating hybrid numeric and text data for physics-based failure prognostics and health management (PHM) technology development and evaluation from October 1, 2021 to June 30, 2023. The hybrid data generation procedure...

This Cooperative Agreement award of $1,000,000 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program supports the development of a manufacturing monitoring system using sound spectrograms and artificial intelligence. The project aims to create a machine "speech recognition" system that can detect and analyze internal machine sounds to provide real-time health and status updates for industrial machinery. The innovative technology is expected...

This $256,000 National Science Foundation STTR Phase I Project Grant to Zsense Systems LLC will support the development of an edge-based oil condition monitoring system for heavy equipment. The system will analyze machine oil conditions on-site to provide comprehensive, real-time information on oil properties and machine health status. Key innovations include an inductive pulse sensing array to detect fine wear debris, microfluidic signal multiplexing technologies, big data analysis and signal...

This Cooperative Agreement award from the National Institute of Standards and Technology (NIST) under the Measurement and Engineering Research and Standards program (CFDA 11.609) provides $198,000.00 to Carnegie Mellon University to develop methods for the validation and deployment of AI-powered robots in manufacturing applications. The key products and services to be delivered include: Development of an AI robotic information system with a generative simulation framework to automatically...

This Project Grant award from the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) provides $281,589 to the University of Florida to conduct research on aligning artificial intelligence (AI) models with real-world operational goals in predictive maintenance for manufacturing systems. The key objectives of this 3-year project are: (i) designing machine learning models that incorporate maintenance cost and operational constraints into predictive modeling; (ii)...

This Project Grant award from the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation aims to develop data-driven methodologies for efficient monitoring and operation of multistage manufacturing systems. The $300,442 award to the University of Wisconsin System will establish an integrated mathematical framework to model the spatial interactions between machines and the temporal degradation of each machine in a multistage manufacturing process. The...

This Cooperative Agreement from the National Science Foundation's Technology, Innovation, and Partnerships program (NSF TIP, CFDA 47.084) provides $1 million to Percev LLC to develop probabilistic and explainable deep learning models for predictive maintenance of industrial and agricultural equipment from December 2022 through November 2024. The award aims to improve schedule-based maintenance programs and reduce downtime for high-productivity equipment, which can result in significant lost...

The National Institute of Standards and Technology (NIST) awarded a $118,000 Cooperative Agreement under the Measurement and Engineering Research and Standards (CFDA 11.609) program to Virginia Polytechnic Institute & State University (Virginia Tech). The purpose of this grant is to develop key innovations in data quality assurance methodology for robotics anomaly detection problems based on AI-model-enhanced multimodal data fusion machine learning. The research aims to significantly lower...

This Small Business Innovation Research (SBIR) Phase II award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $1,000,000 in funding to Ai Pow LLC, a minority-owned, small disadvantaged business located in College Station, TX. The project aims to develop a hardware-aware AutoML platform to enable efficient deployment of AI models on resource-constrained edge devices for real-time defect detection in...