Predictive Analytics for Condition Based Maintenance
Abstract
Predictive Analytics demonstrated the ability to apply predicative models for maintenance on legacy 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 transitioned 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 U.S. Army tank fleet.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2021
- Source ID
- ec169905b0afb7338c9f43d5a25a5f73