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Classification of discharge patterns during ageing of insulation

机译:绝缘老化期间放电模式的分类

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摘要

Conventional discharge detection with statistical processing of discharge signals was used to analyze discharge distributions during ageing of artificial cavities and a 12 kV current transformer. Significant changes of discharge distributions were observed during these tests. Using various mathematical techniques a data base of discharge patterns obtained during ageing was created. The data base was then used for recognition of discharges. Results indicate that satisfactory recognition took place. Selected recognition tools showed a good potential for industrial application, such as recognition of discharges in high voltage (HV) components and periodic testing of HV equipment.
机译:使用具有放电信号统计处理功能的常规放电检测技术来分析人造腔和12 kV电流互感器老化期间的放电分布。在这些测试中,观察到了放电分布的显着变化。使用各种数学技术,创建了在老化过程中获得的放电模式的数据库。然后将数据库用于放电识别。结果表明发生了令人满意的认可。选定的识别工具在工业应用中显示出良好的潜力,例如识别高压(HV)组件中的放电和对HV设备进行定期测试。

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