关键词: 永磁同步电机, 健康监测, 归一化电流, 模糊逻辑, 亚健康

Abstract: With the wide application of electrified systems in the industrial field,permanent magnet synchronous motor has become key actuators of various high-reliability drive systems due to their high power density, high efficiency and excellent control performance. However,under complex working conditions and harsh environments,electrical faults such as winding open-circuit and power transistor failures are prone to occur in motor drive systems,which affect the safe and stable operation of the systems. Traditional fault diagnosis methods suffer from insufficient robustness and high false alarm rates when dealing with load changes and dynamic process disturbances. To address this problem, this paper proposes an intelligent fault diagnosis strategy for permanent magnet synchronous motor based on fuzzy logic and normalized current analysis. By introducing an improved normalized average current method and a fuzzy reasoning mechanism, the strategy achieves rapid and accurate localization of general and intermittent open-circuit faults,and maintains high robustness under various working conditions including no-load, variable speed and variable load. Simulation results show that the proposed strategy significantly improves the reliability and adaptability of fault diagnosis,and provides effective technical support for the real-time health management of high-reliability motor systems.

Key words: permanent magnet synchronous motor, health monitoring, normalized current, fuzzy logic, sub-health