微型电脑应用2023，Vol.39Issue(11)：106-110,5.
基于小波分析和卷积神经网络的互感器二次多点接地故障智能检测
Intelligent Detection of Secondary Multipoint Grounding Fault of Transformer Based on Wavelet Analysis and Convolutional Neural Network
覃宗树 1黄延成 1张华 1覃睿1
作者信息
- 1. 国网湖北省电力有限公司恩施供电公司,湖北,恩施 445000
- 折叠
摘要
Abstract
In order to accurately detect the secondary multipoint grounding fault of transformer,an intelligent detection method based on wavelet analysis and convolutional neural network is proposed.The transformer signal denoising method based on wavelet threshold filtering is used to remove the transformer signal noise.Through the transformer signal feature extraction method based on wavelet analysis,the effective feature vector of transformer signal after denoising is extracted.The popular learning method is used to realize the nonlinear dimensionality reduction of effective signal characteristics of transformer.The signal features after dimensionality reduction are taken as input samples of the intelligent detection method of secondary multi-point grounding fault based on convolutional neural network,and the qualified convolutional neural network is used as the fea-ture classifier to realize the intelligent detection of secondary multipoint grounding fault of transformer.The experimental re-sults show that the detection results of this method are consistent with the actual operation of the transformer,and the detec-tion results are accurate.关键词
小波分析/卷积神经网络/互感器/二次多点接地/故障检测Key words
wavelet analysis/convolutional neural network/transformer/secondary multipoint grounding/fault detection分类
信息技术与安全科学引用本文复制引用
覃宗树,黄延成,张华,覃睿..基于小波分析和卷积神经网络的互感器二次多点接地故障智能检测[J].微型电脑应用,2023,39(11):106-110,5.
