识别老化过程中的放电模式

Proceedings of 1995 Conference on Electrical Insulation and Dielectric Phenomena Pub Date : 1995-10-22 DOI:10.1109/CEIDP.1995.483733

A. Krivda

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引用次数: 0

摘要

采用常规放电检测方法对放电信号进行统计处理，分析了23 kV环氧绝缘子和12 kV电流互感器在长期老化过程中的放电分布。在这些试验中，观察到放电分布的显著变化。采用聚类分析技术，对不同类型的老化放电模式进行分类，建立放电模式数据库。然后使用该数据库对排放进行识别。结果表明，识别效果良好。所选择的识别工具在工业应用方面具有很大的潜力，例如对高压(HV)组件进行定期测试。

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Recognition of discharge patterns during ageing

A conventional discharge detection with statistical processing of discharge signals was used to analyze discharge distributions during long-term ageing of a 23 kV epoxy insulator and a 12 kV current transformer. Significant changes of the discharge distributions were observed during these tests. Using cluster analysis techniques, different groups of discharge patterns obtained during ageing were discriminated and a data base of the patterns was created. The data base was then used for the recognition of discharges. The results indicate that satisfactory recognition took place. Selected recognition tools showed a promising potential for industrial application, such as the periodic testing of high voltage (HV) components.

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Proceedings of 1995 Conference on Electrical Insulation and Dielectric Phenomena

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