Design of a High-Performance Prognostics and Health Management Platform for Weapon Equipment

Abstract

The application of prognostics and health management (PHM) technology for complex weapon equipment has been a hot research topic in recent years. In order to solve the problems of low data utilization, expensive prognostics and health management methods, and high real-time requirements in engineering, it is necessary to build a comprehensive platform to implement the PHM functions. This paper introduces a high-performance prognostics and health management platform which can be effectively used to assess and predict the performance of weapon equipment. The platform is based on DSP + FPGA collaborative computing acceleration architecture, and can accelerate PHM data processing tasks by using the co-processing card containing DSPs and FPGAs. The platform has the capabilities to acquire multi-channel high-speed data, and convert the data into health-related information and maintenance decision. The health information and maintenance decision can then be integrated into the software for interface displaying. An application example is used to validate that the platform can be applied to prognostic applications of weapon equipment and is high-performance.