1. Introduction Rotating machinery, such as bearings and gears, is widely used in industrial fields. The health state of these crucial mechanical components greatly influences the performance, stability, and lifespan of the machine. Reliable monitoring and fault diagnosis of rolling bearings are essential for the safe, stable operation of rotating machinery [1]. The development of computer technologies and big data has ushered in a new era of data-driven fault diagnosis for rolling bearings.
