Predictive Analytics for Condition Based Maintenance
Abstract
This adaptive logistics project demonstrated the ability to apply a predicative analytics model for maintenance on ground combat equipment to enhance lethality through improved readiness. The prototype system collects and stores engine performance data and fault codes, applies machine learning principles to collected data, and anticipates required maintenance before issues cause expensive damage to engine hardware. Prototyping focused on building a framework to understand engine data from the M-88 platform and extrapolating actionable steps. The prototype transited to the U.S. Marine Corps for further development and assessment. This prototype also supports the M-1 tank chassis and was leveraged by the Army tank fleet and future systems that have onboard processing to run machine learning algorithms.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2020
- Source ID
- 02e24c61163d6c67982efcdbec38e396