EFMEA-Based Design of Prognostics and Health Management System for Heavy Vehicles

Due to the volatile environment and operation condition of heavy vehicles, the prognostics and health management (PHM) for heavy vehicles has leveraged a rapid development of economical failure reduction and efficient condition-based maintenance (CBM) for heavy vehicles. This manuscript proposes a framework for the design of PHM system for heavy vehicles, which combines the failure mechanics and extended FMEA (eFMEA) with the PHM design workflow. Addressed issues in this manuscript are: failure mechanics and eFMEA for PHM systems, real-time diagnostics and deep prognostics design for vehicle failures, in which the principles, restrictions, and items of analysis are introduced, respectively. Based on the proposed design framework, we design a distributed-centralized PHM system for heavy vehicles, which are deployed both on the vehicles and on the bases. The PHM system combines the failure detection, prediction, and maintenance task support based on the proposed real-time failure diagnostics and deep failure prognostics, and eventually provides an integrated and economical solution for heavy vehicle fleet operation and maintenance.