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30-05-2020 | Original Research

Aging evaluation and moisture prediction of oil-immersed cellulose insulation in field transformer using frequency domain spectroscopy and aging kinetics model

Authors: Jiefeng Liu, Xianhao Fan, Yiyi Zhang, Chaohai Zhang, Zixiao Wang

Published in: Cellulose | Issue 12/2020

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Abstract

This work aims to propose an improved model for aging evaluation and moisture prediction of transformer cellulose insulation, which is based on the combination of the advantages of both frequency domain spectroscopy (FDS) and cellulose aging kinetics model. In the present work, the FDS was firstly employed to achieve the prediction of the inside moisture according to its moisture-sensitive property. Then, the predicted moisture is applied to construct the improved aging kinetics model, so that the aging condition of the transformer cellulose insulation can be predicted as well. The presented lab tests, as well as the field tests, have demonstrated the accuracy and feasibility of the proposed model. In that respect, the present contributions attempt to present a novel idea for the aging evaluation and moisture prediction for transformer cellulose insulation.

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Title: Aging evaluation and moisture prediction of oil-immersed cellulose insulation in field transformer using frequency domain spectroscopy and aging kinetics model
Authors: Jiefeng Liu
Xianhao Fan
Yiyi Zhang
Chaohai Zhang
Zixiao Wang
Publication date: 30-05-2020
Publisher: Springer Netherlands
Published in: Cellulose / Issue 12/2020
Print ISSN: 0969-0239
Electronic ISSN: 1572-882X
DOI: https://doi.org/10.1007/s10570-020-03242-2

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