基于数字孪生的机电液系统 PHM 关键技术综述

Digital twin technology and PHM technology are two hot research directions in the field of intelligent manufacturing. On the basis of summarizing and analyzing the current status of PHM technology, this study summarizes the key issues that currently restrict the development and application of PHM technology, including incomplete research on equipment failure mechanisms, incomplete data throughout the entire lifecycle, insufficient methods for monitoring health status, insufficient synthesis of multi-level status information, and uncertainty management issues. And it elaborates on the unique advantages of digital twin technology in solving these shortcomings, and proposes the construction of multi-dimensional digital twin models based on first principles, multi-dimensional data mapping in virtual and real spaces, efficient iterative correction of twin technology state consistency measurement and model, and system health assessment, prediction, and maintenance decision-making based on multi domain features as key technologies to construct the DT-PHM research architecture. With the continuous advancement and development of technology, the two technologies are constantly deeply integrated. The complex system health management technology based on digital twins will undoubtedly become one of the key technologies for future equipment full lifecycle maintenance and predictive maintenance.