In order to better identify the complex partial discharge patterns of gas insulated composite electrical equipment,the ultra high frequency detection method and proportional conjugate gradient algorithm are used to detect the partial discharge sig-nals,and a model of gas insulated composite electrical equipment is built.The results indicate that when the time is 13.5 ns,the discharge signal of sensor 2 is detected,and a higher waveform frequency indicates a closer proximity to the discharge power source,In the training set,the recognition accuracy of suspension and tip discharge is 80.6％,and the average recognition ac-curacy of complex partial discharge types is 86.2％.In the validation set,the recognition accuracy of suspension and tip dis-charge is 83.3％,with an average accuracy of 93.2％.When we set the number of hidden layers to 30,the accuracy of data classification is 87.3％.It has been proven that the recognition accuracy of partial discharge types is high,which provides a guarantee for the safety and reliability of detecting power systems.
关键词
GIS/SCG算法/局部放电/特高频检测法/特征提取
Key words
GIS/SCG algorithm/partial discharge/ultra high frequency detection method/feature extraction
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