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Detection of rotor bar breaking fault in induction motors based on Hilbert modulus gyration radius of filtered stator current signal

机译:基于滤波器电流信号的Hilbert模数循环循环的感应电动机转子杆断裂故障检测

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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 gives the definition of Hilbert modulus of filtered stator current signal of induction motors and presents its algorithm by blending Hilbert transform, spectrum analysis/correction and self-adaptive filter techniques perfectly. And then, this paper reveals the rule that the area in complex plane occupied by Hilbert modulus of filtered stator current signal can reflect whether rotor bar breaking fault is present or not, and will increase with the development of this type of fault in induction motors. Thorough analysis based on great simulation and experiment results demonstrates that the revealed rule is correct. Moreover, this paper proposes a novel feature of rotor bar breaking fault, i.e., the Hilbert modulus gyration radius of filtered stator current signal. Simulation and experiment results show clearly that the Hilbert modulus gyration radius of filtered stator current signal, as a feature of rotor bar breaking fault, is sensitive to the fault itself and robust to some extent to the load, and thus can be used to detect rotor bar breaking fault in induction motors.
机译:根据感应电动机转子断路器的基本特性和正弦信号的Hilbert变换的物理概念,介绍了感应电机的过滤定子电流信号的Hilbert模量的定义,并通过混合Hilbert变换,光谱呈现了其算法完美分析/校正和自适应滤波器技术。然后,本文揭示了由滤波定子电流信号的Hilbert模量占据的复杂平面中的区域可以反映转子杆断裂故障,并且随着感应电动机的这种故障的发展而增加。基于巨大仿真和实验结果的彻底分析表明显示的规则是正确的。此外,本文提出了转子杆断裂故障的新颖特征,即滤波定子电流信号的Hilbert模量啮合半径。仿真和实验结果清楚地表明,过滤器定子电流信号的Hilbert模量转移半径,作为转子杆断裂故障的特点,对故障本身敏感,在某种程度上对负载进行鲁棒,因此可用于检测转子在感应电机中断开故障。

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