QFD-Based Human-Machine Interface Design and Usability Evaluation of Digital Twin PHM System

Prognostics and Health Management (PHM) systems facilitate the efficient management and operation of mechanical equipment. Despite their importance, there has been limited research has focused on designing user interfaces for PHM systems. Digital twin technology offers new perspectives for PHM system implementation due to its real-time capabilities and virtual-physical consistency. This paper utilizes the Quality Function Deployment (QFD) method to translate technical terms into design terms. An interactive interface is designed, developed, and iteratively optimized using the wind turbine drivetrain test rig as the experimental object. Eye-tracking experiments are conducted to validate how different design elements affect user experience and information acquisition during the human-machine interaction process of digital twin-based PHM systems. Experimental results demonstrate that the rational optimization of interface design elements can improve the efficiency of human-computer interaction and the accuracy of information acquisition, which provides an important reference for the further improvement of the digital twin PHM system.