笼型异步电动机转子断条故障新特征

根据笼型异步电动机转子断条故障的基本规律与正弦信号希尔伯特变换的物理意义,将希尔伯特变换、频谱分析/校正与自适应滤波技术相结合,以获取定子电流滤波信号的希尔伯特模量,指出其在复平面所占面积可反映转子断条故障存在与否,且其数值伴随故障程度的加剧而增大.仿真与实验数据分析验证了这一规律.进而提炼出笼型异步电动机转子断条故障新特征--定子电流滤波信号希尔伯特模量回转半径.仿真与实验数据表明,该特征对于转子断条故障灵敏,并对电机负载状况呈现一定的鲁棒性,将其应用于笼型异步电动机转子断条故障检测可行.

A Novel Characteristic of Rotor Bar Breaking Fault in Induction Motors

According to the basic characteristic of rotor bar breaking fault in induction motors and the physical concept of Hilbert transform of sinusoidal signal,this paper presents the definition of Hilbert modulus of the filtered stator current signal of induction motors.Corresponding algorithm is given by integrating techniques of Hilbert transform,spectrum analysis/correction and self-adaptive filter perfectly.The paper reveals the rule that the area in complex plane occupied by Hilbert modulus of the filtered stator current signal can reflect whether rotor bar breaking fault occurs or not.It shows that the value of Hilbert modulus will increase with the development of this type of fault in induction motors.Results of thorough investigation based on a variety of simulation and experiment demonstrate that the revealed rule is correct.Moreover,a novel characteristic of rotor bar breaking fault is proposed,i.e.the Hilbert modulus gyration radius of the filtered stator current signal.Simulation and experiment results show that the Hilbert modulus gyration radius of the filtered stator current signal,as a characteristic of rotor bar breaking fault,is sensitive to the fault itself and robust to some extent to the load.Hence it can be used to detect rotor bar breaking fault in induction motors.