Rolling Stock Diagnostics and Prognostics Development

The contract involves research and development of advanced diagnostic systems for locomotives and railcars, with a focus on predictive maintenance targeting key components such as bearings, wheels, and propulsion systems. Utilizing IoT technologies and machine learning, the aim is to create systems that can monitor equipment conditions in real-time to predict failures before they occur, enhancing safety and operational efficiency. This subcontract opportunity is issued by the Federal Railroad Administration under the Department of Transportation, with the NAICS code 541715, which corresponds to research and development in the physical, engineering, and life sciences. The solicitation was posted on May 21, 2026, and responses are due by September 30, 2027, at 4:00 PM. While specific location details for the place of performance and point of contact information are not provided, the contract clearly emphasizes leveraging cutting-edge technology and data analysis for rail industry asset management. The initiative supports improvements in rolling stock reliability and maintenance processes through predictive diagnostics, representing a significant investment in innovation within the rail sector.