On gradation and classification of faults for permanent magnet synchronous motor systems based on v-gap metric

Permanent magnet synchronous motor has become the mainstream motor of electric vehicle, elevator and other drive systems due to its high torque density, high efficiency and high reliability. Most of the existing gradation and classification of faults in permanent magnet synchronous motor systems use the Euclidean metric method, which is extremely dependent on the physical magnitude of each component and difficult to portray the intrinsic changes of the system. In this paper, normal and fault models for permanent magnet synchronous motor systems are established under normal and different degrees of abnormal operating conditions, and classify different degrees and types of faults in a hierarchical manner based on the inter-system v-gap metric values. The simulation experiments apply the v-gap metric to the permanent magnet synchronous motor system to achieve a hierarchical classification for different degrees and different types of faults.