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Study for Spatial Magnetic Field Distribution of Inter-turn Short-circuit Fault Degree in Dry Air-core Reactors

机译:干燥空心反应堆转弯短路故障程度的空间磁场分布研究

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摘要

Equipment can be burned with great losses when inter-turn short-circuit fault occurs in Dry-type Air-core Reactor (DAR). The finite element method and curve fitting method was used to put forward a method detect inter-turn short-circuit based on spatial magnetic field distribution of DAR. Firstly, the faults with different degree of inter-turn short circuit were set at different points in the fault simulation model. Secondly, the connection between inter-turn short-circuit fault and spatial magnetic field was obtained after the spatial magnetic field distribution along Axial Traverse in Center (ATC) and Lateral Traverse in Center (LTC) had been simulated and analyzed. Finally, the functions to detect the fault degree were established and verified with the variation of magnetic field at observation points and the fault degree as the fitting variables respectively. The results showed that the absolute errors between the results of functions and the actual value were little while the relative errors were within the error range allowed, which proved the availability of the functions simulated to detect fault.
机译:当干式空心反应器(DAR)发生时,设备可以在转弯短路故障时造成巨大损失。使用有限元方法和曲线配合方法提出了一种基于DAR的空间磁场分布检测匝间短路的方法。首先,在故障仿真模型中的不同点设置具有不同程度的匝间短路的故障。其次,在沿着中心(ATC)中的空间磁场分布和中心(LTC)中的轴向横向横向的空间磁场分布和横向横向之后,获得了匝间短路故障和空间磁场之间的连接。最后,建立了检测故障程度的功能,并分别在观察点处的磁场和作为拟合变量的故障程度的变化来验证。结果表明,函数结果与实际值之间的绝对误差几乎没有允许的误差范围内,这证明了模拟以检测故障的功能的可用性。

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