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A new approach in PD diagnosis and PD pattern recognition

机译:PD诊断和PD模式识别中的一种新方法

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Digital measuring techniques and a few diagnosis systems have been developed to assist the test engineer. The most common diagnostic tools are two or three dimensional distributions or histograms which exhibit typical patterns of the PD activity. The main disadvantage of all these graphs in PD diagnosis is the integrative effect of the statistics used. In this paper the authors show a graph of Partial Discharge activity without any integrative effect that gains a diagnostic overview of the whole measurement. In this diagram the parameters charge, phase, time and test voltage are included, by this it is possible to summarize all significant information on one computer print. By seeing PD evolution from period to period, visual recognition and expert classification becomes practicable. Results of acoustical PD classification will be presented and the influence of test voltage on electrical and acoustical PD-recognition is discussed.
机译:已经开发了数字测量技术和一些诊断系统来帮助测试工程师。最常见的诊断工具是两三尺寸分布或直方图,其表现出PD活性的典型模式。 PD诊断中所有这些图表的主要缺点是所使用的统计数据的综合效果。在本文中,作者展示了部分放电活动的图表,没有任何综合效果,这些效果获得了整个测量的诊断概述。在该图中,参数充电,阶段,时间和测试电压包括在内,通过这可以总结一台计算机打印的所有重要信息。通过从期间到期的PD演变,视觉认可和专家分类变得可行。讨论了声学PD分类的结果,并讨论了测试电压对电和声学PD识别的影响。

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