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Frequency Domain Spectroscopy Prediction of Oil-Immersed Cellulose Insulation under Diverse Temperature and Moisture
IEEE Transactions on Dielectrics and Electrical Insulation ( IF 3.1 ) Pub Date : 2020-12-01 , DOI: 10.1109/tdei.2020.008813
Jiefeng Liu , Xianhao Fan , Yiyi Zhang , Sheng Li , Jian Jiao

A novel model for predicting the frequency domain spectroscopy (FDS) curve is reported in this work, which is capable of analyzing the synergistic effect generated by temperature and moisture. The innovation of this work is an exploration of the reported model as a potential tool for predicting the FDS (dispersion loss/permittivity) curves of oil-immersed cellulose insulation under diverse temperatures and moisture. In that respect, the verification experiments indicated that the average relative error of the prediction results in lab conditions is less than 17%.

中文翻译:

不同温度和湿度下油浸纤维素绝缘材料的频域光谱预测

本工作报告了一种预测频域光谱 (FDS) 曲线的新模型,该模型能够分析温度和湿度产生的协同效应。这项工作的创新是探索报告的模型作为预测不同温度和湿度下油浸纤维素绝缘材料的 FDS(色散损失/介电常数)曲线的潜在工具。在这方面,验证实验表明,实验室条件下预测结果的平均相对误差小于17%。
更新日期:2020-12-01
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