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Method for extracting current envelope for broken rotor bar fault detection of induction motors at time-varying loads

机译:在时变负载下提取用于断开转子杆故障检测的电流包络的方法

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摘要

When the broken rotor bar (BRB) fault occurs in induction motors, the amplitude of stator fundamental current is modulated by fault components, forming the current envelope with a particular frequency, which can be considered as a powerful criterion for BRB detection. However, it is relatively difficult to extract especially at time-varying loads due to the non-stationary characteristics. Thus, a novel envelope extraction method (EEM) combining fast Fourier transform and sliding overlapping window is proposed and the overall performance is tested by simulation. The results show that the method is capable to effectively extract the current envelope, but the extraction accuracy is unsatisfied due to the spectrum leakage in the case of non-integer periodic truncation. The technique of discrete spectrum correction is then introduced into EEM to improve its extraction accuracy, and then, an improved EEM (IEEM) is proposed and then tested by simulation. The results show that the IEEM is able to eliminate the impact of non-integer periodic truncation, effectively and accurately extract the current envelope. Finally, the two methods are applied in BRB fault online detection of 1.1 and 2.2 kW induction motors at time-varying loads. The corresponding experimental results demonstrate its validity and universality again.
机译:当在感应电动机中发生破损的转子杆(BRB)故障时,定子基波电流的幅度由故障组件调制,形成具有特定频率的当前包络,这可以被认为是BRB检测的强大标准。然而,由于非稳定性特性,它相对难以提取特别是在时变载荷。因此,提出了一种新的包络提取方法(EEM)组合快速傅里叶变换和滑动重叠窗口,并通过模拟测试整体性能。结果表明,该方法能够有效地提取电流包络,但由于非整数周期截断的情况下,提取精度是不满足的。然后将离散频谱校正技术引入EEM以提高其提取精度,然后提出改进的EEM(IEEM),然后通过模拟测试。结果表明,IEEM能够消除非整数周期截断的影响,有效地精确提取当前包络。最后,两种方法应用于21和2.2 kW的时变负载的BRB故障在线检测。相应的实验结果再次展示了其有效性和普遍性。

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