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Pulse sequence analysis - a diagnostic tool based on the physics behind partial discharges

机译:脉冲序列分析-基于局部放电背后物理原理的诊断工具

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The analysis of partial discharge signals is a well-known tool to monitor the degradation of electric equipment. In contrast to the common practice of the analysis of data sets (phase angles of occurrence and discharge magnitudes) accumulated during a predefined time interval, the Pulse Sequence Analysis (PSA) is based on the evaluation of data sets in which also the individual sequence or partial discharge events are registered. The classical analyses are mainly based on the frequency distributions of the pulse heights of discharge events and the phase angles of the applied voltage at which they occur. Detailed analyses of partial discharge sequences reveal that-if liquid or solid dielectrics are involved-the phase angle of the externally applied voltage is not a meaningful parameter in the partial discharge process. The ignition of the partial discharge is determined by the local electric field at the defect site and not by the absolute value or the phase angle of the externally applied voltage. Experiments with different model defects as well as measurements of commercial apparatuses show that there are characteristic sequences of partial discharge events. In many cases a systematic shift of the phase angles of occurrence occurs, which produces an apparently 'statistic scatter' of the phase angles unless the correlation between consecutive discharges is taken into account. Sequence correlated parameters such as the voltage differences of the applied voltage or time differences between consecutive discharges are far more decisive parameters in the process. By means of the pulse sequence analysis, local defects can be characterized more precisely and single and multiple discharge sites can be clearly distinguished. A physically based model to describe discharge phenomena will be discussed and experimental results will be compared with results of numerical simulations of partial discharge processes. [References: 20]
机译:局部放电信号的分析是监视电气设备性能下降的众所周知的工具。与分析在预定时间间隔内累积的数据集(发生的相位角和放电幅度的相角)的常规做法相反,脉冲序列分析(PSA)基于数据集的评估,其中单个序列或记录局部放电事件。经典分析主要基于放电事件的脉冲高度的频率分布及其发生时所施加电压的相角。对局部放电序列的详细分析表明,如果涉及液体或固体电介质,则在局部放电过程中,外部施加电压的相角不是有意义的参数。部分放电的起火由缺陷部位的局部电场决定,而不是由外部施加电压的绝对值或相角决定。具有不同模型缺陷的实验以及商用设备的测量表明,存在局部放电事件的特征序列。在许多情况下,系统会发生相角的系统移位,除非考虑到连续放电之间的相关性,否则会产生相角的“统计散布”。与序列相关的参数(例如施加的电压的电压差或连续放电之间的时间差)是该过程中更具决定性的参数。通过脉冲序列分析,可以更精确地表征局部缺陷,并且可以清楚地区分单个和多个放电位置。将讨论基于物理的描述放电现象的模型,并将实验结果与局部放电过程的数值模拟结果进行比较。 [参考:20]

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