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Elliptical novelty grouping for on-line short-turn detection of excited running rotors

机译:椭圆新颖性分组用于励磁运行转子的在线短转检测

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A technique for the detection of shorted turns in the field-windings of operating synchronous turbine-generators is described. The measuring method used is the twin-signal sensing method, where pulses are injected into each terminal of the rotor. The reflected signals are subtracted to produce signature signals that contains information about the rotor's state. The signature signals are sampled and accepted or rejected as valid based on an outlier detection criteria. Novelty detection is applied to the accepted signals. The current signature signal is compared to a range of signature signals taken when the rotor was known to be free of shorts. If the current signature signal strays too far from the known healthy signal, the signature signal is 'novel' and the possibility of a short is declared. The method was tested on a running test rotor with voltage excitation. A comparison of methods shows that an elliptical novelty grouping algorithm gives highly accurate results.
机译:描述了一种用于检测正在运行的同步涡轮发电机的励磁绕组中的短路匝的技术。使用的测量方法是双信号传感方法,其中将脉冲注入到转子的每个端子中。减去反射信号以产生特征信号,该特征信号包含有关转子状态的信息。基于异常检测标准,对签名信号进行采样,然后将其视为有效。新奇检测应用于接受的信号。将当前签名信号与已知转子没有短路时获取的签名信号范围进行比较。如果当前签名信号偏离已知的健康信号太远,则签名信号为“新颖”,并声明发生短路的可能性。该方法在运行的带有电压激励的测试转子上进行了测试。方法的比较表明,椭圆新颖性分组算法可提供高度准确的结果。

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