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- W2900516948 abstract "With the gradual deterioration of atmospheric environment, pollution accumulation causes the increase in flashover accidents, which seriously threatens the safety and stability of power system. The detection of partial discharge for insulators is an important part of state evaluation of external insulation. One of the most effective way of detecting the surface insulation is using UV radiation signal, which has advantages as non-contact and anti-interference. In this paper, insulator discharge phenomena are divided into three categories — — corona, intermittent arc and sustained arc. The discharge detection system through UV photoelectric tube is designed to detect and discriminate the discharge phenomena. In these experiments, the ceramic insulators are used as experimental subjects, in which we record the output pulses and extract three characteristics, UV pulse count, maximum amplitude and integral of amplitude, which are used to predict discharge phenomena by CHAID (Chi-squared Automatic Interaction Detection). The results show that CHAID algorithm outperforms Bayesian network and C5.0 algorithm on accuracy. The UV pulse count, integral of amplitude and maximum amplitude can be used together to classify discharge phenomena. The UV pulse count has a main influence on direction of classification, and the UV pulse amplitude has an effect on adjustment error of classification." @default.
- W2900516948 created "2018-11-29" @default.
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- W2900516948 date "2018-09-01" @default.
- W2900516948 modified "2023-10-16" @default.
- W2900516948 title "Discrimination of Insulator Discharge Phenomena Based on Characteristics of UV Pulse" @default.
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- W2900516948 doi "https://doi.org/10.1109/deiv.2018.8537015" @default.
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