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Prediction of Planned Outages of a Power Transformer Using Dissolved Gas Analysis and Nonlinear Autoregressive Neural Networks

机译：使用溶解气体分析和非线性自回归神经网络预测电力变压器的预测

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作者
NKosi, Samkelisiwe.;
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作者单位

University of Johannesburg (South Africa).;

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授予单位 University of Johannesburg (South Africa).;
学科
学位 M.Tech.
年度 2020
页码 76 p.
总页数 76
原文格式 PDF
正文语种 eng
中图分类 AAI28278515;
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2. Power Loss Prediction for Aging Characteristics and Condition Monitoring for Parallel-Connected Power Modules Using Nonlinear Autoregressive Neural Network [J] . Shengyou Xu, Xin Yang, Li Ran, Complexity . 2019,第2期

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4. Fault prediction based on dissolved gas concentration from insulating oil in power transformer using Neural Network [C] . Iyswarya Annapoorani K., Umamaheswari DR.B. 2012 IEEE 10th International Conference on the Properties and applications of Dielectric Materials. . 2012

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5. Bridging global positioning system outages using neural network forward prediction of intertial navigation position and velocity errors [D] . Semeniuk, Lorinda Mae 2006

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6. Wavelet-Like Transform to Optimize the Order of an Autoregressive Neural Network Model to Predict the Dissolved Gas Concentration in Power Transformer Oil from Sensor Data [O] . Francisco Elânio Bezerra, Fernando André Zemuner Garcia, Silvio Ikuyo Nabeta, 2020

机译：小波样变换可优化自回归神经网络模型的阶数从而根据传感器数据预测电力变压器油中的溶解气体浓度
7. Wavelet-Like Transform to Optimize the Order of an Autoregressive Neural Network Model to Predict the Dissolved Gas Concentration in Power Transformer Oil from Sensor Data [O] . Francisco Elânio Bezerra, Fernando André Zemuner Garcia, Silvio Ikuyo Nabeta, 2020

机译：小波的变换以优化自回归神经网络模型的顺序，以预测来自传感器数据的电力变压器油中的溶解气体浓度

Prediction of Planned Outages of a Power Transformer Using Dissolved Gas Analysis and Nonlinear Autoregressive Neural Networks

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