Frequency Domain Spectroscopy Prediction of Oil-Immersed Cellulose Insulation under Diverse Temperature and Moisture
Jiefeng Liu, Xianhao Fan, Yiyi Zhang, Sheng Li, Jian Jiao
Abstract
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%.
Topics & Concepts
MoistureDispersion (optics)Materials scienceCellulosePermittivityDielectric spectroscopyFrequency domainSpectroscopyWork (physics)Composite materialTemperature measurementApproximation errorBiological systemAnalytical Chemistry (journal)DielectricThermodynamicsChemical engineeringComputer scienceChemistryMathematicsEngineeringOpticsChromatographyOptoelectronicsAlgorithmPhysicsMathematical analysisElectrodeQuantum mechanicsElectrochemistryBiologyPhysical chemistryPower Transformer Diagnostics and InsulationHigh voltage insulation and dielectric phenomenaAdvanced Cellulose Research Studies