首页> 外文期刊>International journal of systems assurance engineering and management >Static eccentricity fault diagnosis using the signatures analysis of stator current and air gap magnetic flux by finite element method in saturated induction motors
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Static eccentricity fault diagnosis using the signatures analysis of stator current and air gap magnetic flux by finite element method in saturated induction motors

机译:饱和感应电动机定子电流和气隙磁通特征分析的静态偏心故障诊断。

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摘要

Static eccentricity produces low frequency air gap flux components, however they can be observed in stator current spectrum only under mixed eccentricity, and for high degrees of rotor shifting. Unlike motor current signature analysis, the air-gap magnetic flux signature analysis allows to detect small degree of purely static eccentricity. The simulation results are obtained by using time stepping finite elements method. In order to indicate the influence of the magnetic saturation upon the analysis of the faulty induction motor, two constant and non-liner permeability; are included in this paper. It is shown that the fault index amplitudes of obtained signals from the constant permeability are larger than that of the real case. In this paper the amplitudes of characteristic frequency components f_(ecc) = |f_s ± kf_r| with low degrees of purely static eccentricity fault are detected using air-gap magnetic flux signature analysis. Moreover, new index signatures are detected around the third time harmonics in air-gap magnetic flux density spectrum for saturated motor, those components are expressed by f_(ecc) = mf_s ±f_r.
机译:静态偏心会产生低频气隙磁通分量,但是只有在混合偏心以及转子高度偏位的情况下,才能在定子电流频谱中观察到它们。与电动机电流签名分析不同,气隙磁通签名分析允许检测小程度的纯静态偏心率。采用时步有限元法获得了仿真结果。为了表明磁饱和对故障感应电动机的分析的影响,有两个常数和非线性导磁率。包括在本文中。结果表明,从恒​​定磁导率获得的信号的故障指数幅度大于实际情况。本文中特征频率分量的幅度f_(ecc)= | f_s±kf_r |气隙磁通量特征分析可检测出具有低纯静偏心度故障的传感器。此外,在饱和电动机的气隙磁通密度谱中的三次谐波附近检测到新的索引签名,这些分量由f_(ecc)= mf_s±f_r表示。

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