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Diagnosis of stator short-circuit faults in an IPM synchronous machine using a space-vector pendulous oscillation method

机译:使用空间矢量摆动振荡方法诊断IPM同步机中的定子短路故障

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Experimental characterization of interior permanent magnet (IPM) synchronous machines experiencing winding short-circuit faults is necessary in developing diagnostics indices to be used in detecting short-circuit winding faults. Known fault indices include the current spectrum analysis, the negative-sequence components method, and the space-vector based pendulous oscillation method. This paper applies all three methods to experimental turn-to-turn short-circuit fault data acquired from a 3.5 hp IPM motor energized by a PWM voltage source inverter. The results are compared and analyzed, and since none of the three methods presented unambiguously demonstrate the existence of a winding short-circuit fault, the practical difficulties of short-circuit fault detection and mitigation are discussed in that light.
机译:在开发用于检测短路绕组故障的诊断指标时,需要绕组短路故障的内部永磁体(IPM)同步机的实验表征是必要的。已知的故障指数包括当前频谱分析,负序分量法和基于空间矢量的下垂振荡方法。本文将所有三种方法应用于由PWM电压源逆变器通电的3.5 HP IPM电机获取的实验轮转短路故障数据。比较和分析结果,由于毫不含糊地显示了三种方法中的任何三种方法都没有展示绕组短路故障的存在,因此在该光线中讨论了短路故障检测和缓解的实际困难。

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