Digital twin-based health service framework and its application in permanent magnet synchronous motors

The modern equipment development cycle is short, and health service requirements are high; and traditional design methods can no longer meet the needs of equipment development, especially the changes in the health service status of equipment, performance degradation, and the impact of external interference and uncertainty. In order to solve the above problems, this paper focuses on equipment health service and proposes a digital twin-based equipment health service framework, which aims to efficiently use the whole life cycle data to achieve rapid iteration. In order to accurately detect the equipment’s current status in real time, the framework can update the digital twin with operating condition data at various times over the equipment’s whole service life cycle. This digital twin-based approach not only simulates the service status of equipment in the model, but also enables real-time assessment of the health status of the equipment. Through this method, it is possible to better meet the needs of the development and service of modern equipment. To demonstrate the efficacy and viability of the suggested approach, this study uses the permanent magnet synchronous motor, a widely used electromechanical drive device in the aerospace industry, as an example.