Cargando…
Concentration Prediction of Polymer Insulation Aging Indicator-Alcohols in Oil Based on Genetic Algorithm-Optimized Support Vector Machines
The predictive model of aging indicator based on intelligent algorithms has become an auxiliary method for the aging condition of transformer polymer insulation. However, most of the current research on the concentration prediction of aging products focuses on dissolved gases in oil, and the concent...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003247/ https://www.ncbi.nlm.nih.gov/pubmed/35406322 http://dx.doi.org/10.3390/polym14071449 |
_version_ | 1784686087234387968 |
---|---|
author | Wu, Shuyue Zhang, Heng Wang, Yuxuan Luo, Yiwen He, Jiaxuan Yu, Xiaotang Zhang, Yiyi Liu, Jiefeng Shuang, Feng |
author_facet | Wu, Shuyue Zhang, Heng Wang, Yuxuan Luo, Yiwen He, Jiaxuan Yu, Xiaotang Zhang, Yiyi Liu, Jiefeng Shuang, Feng |
author_sort | Wu, Shuyue |
collection | PubMed |
description | The predictive model of aging indicator based on intelligent algorithms has become an auxiliary method for the aging condition of transformer polymer insulation. However, most of the current research on the concentration prediction of aging products focuses on dissolved gases in oil, and the concentration prediction of alcohols in oil is ignored. As new types of aging indicators, alcohols (methanol, ethanol) are becoming prevalent in the aging evaluation of transformer polymer insulation. To address this, this study proposes a prediction model for the concentration of alcohols based on a genetic-algorithm-optimized support vector machine (GA-SVM). Firstly, accelerated thermal aging experiments on oil-paper insulation are conducted, and the concentration of alcohols is measured. Then, the data of the past 4 days of aging are used as the input feature of SVM, and the GA algorithm is utilized to optimize the kernel function parameter and penalty factor of SVM. Moreover, the concentrations of methanol and ethanol are predicted, after which the prediction accuracy of other algorithms and GA-SVM are compared. Finally, an industrial software program for predicting the concentration of methanol and ethanol is established. The results show that the mean square errors (MSE) of methanol and ethanol concentration predictions of the model proposed in this paper are 0.008 and 0.003, respectively. The prediction model proposed in this paper can track changes in methanol and ethanol concentrations well, providing a theoretical basis for the field of alcohol concentration prediction in transformer oil. |
format | Online Article Text |
id | pubmed-9003247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90032472022-04-13 Concentration Prediction of Polymer Insulation Aging Indicator-Alcohols in Oil Based on Genetic Algorithm-Optimized Support Vector Machines Wu, Shuyue Zhang, Heng Wang, Yuxuan Luo, Yiwen He, Jiaxuan Yu, Xiaotang Zhang, Yiyi Liu, Jiefeng Shuang, Feng Polymers (Basel) Article The predictive model of aging indicator based on intelligent algorithms has become an auxiliary method for the aging condition of transformer polymer insulation. However, most of the current research on the concentration prediction of aging products focuses on dissolved gases in oil, and the concentration prediction of alcohols in oil is ignored. As new types of aging indicators, alcohols (methanol, ethanol) are becoming prevalent in the aging evaluation of transformer polymer insulation. To address this, this study proposes a prediction model for the concentration of alcohols based on a genetic-algorithm-optimized support vector machine (GA-SVM). Firstly, accelerated thermal aging experiments on oil-paper insulation are conducted, and the concentration of alcohols is measured. Then, the data of the past 4 days of aging are used as the input feature of SVM, and the GA algorithm is utilized to optimize the kernel function parameter and penalty factor of SVM. Moreover, the concentrations of methanol and ethanol are predicted, after which the prediction accuracy of other algorithms and GA-SVM are compared. Finally, an industrial software program for predicting the concentration of methanol and ethanol is established. The results show that the mean square errors (MSE) of methanol and ethanol concentration predictions of the model proposed in this paper are 0.008 and 0.003, respectively. The prediction model proposed in this paper can track changes in methanol and ethanol concentrations well, providing a theoretical basis for the field of alcohol concentration prediction in transformer oil. MDPI 2022-04-02 /pmc/articles/PMC9003247/ /pubmed/35406322 http://dx.doi.org/10.3390/polym14071449 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wu, Shuyue Zhang, Heng Wang, Yuxuan Luo, Yiwen He, Jiaxuan Yu, Xiaotang Zhang, Yiyi Liu, Jiefeng Shuang, Feng Concentration Prediction of Polymer Insulation Aging Indicator-Alcohols in Oil Based on Genetic Algorithm-Optimized Support Vector Machines |
title | Concentration Prediction of Polymer Insulation Aging Indicator-Alcohols in Oil Based on Genetic Algorithm-Optimized Support Vector Machines |
title_full | Concentration Prediction of Polymer Insulation Aging Indicator-Alcohols in Oil Based on Genetic Algorithm-Optimized Support Vector Machines |
title_fullStr | Concentration Prediction of Polymer Insulation Aging Indicator-Alcohols in Oil Based on Genetic Algorithm-Optimized Support Vector Machines |
title_full_unstemmed | Concentration Prediction of Polymer Insulation Aging Indicator-Alcohols in Oil Based on Genetic Algorithm-Optimized Support Vector Machines |
title_short | Concentration Prediction of Polymer Insulation Aging Indicator-Alcohols in Oil Based on Genetic Algorithm-Optimized Support Vector Machines |
title_sort | concentration prediction of polymer insulation aging indicator-alcohols in oil based on genetic algorithm-optimized support vector machines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003247/ https://www.ncbi.nlm.nih.gov/pubmed/35406322 http://dx.doi.org/10.3390/polym14071449 |
work_keys_str_mv | AT wushuyue concentrationpredictionofpolymerinsulationagingindicatoralcoholsinoilbasedongeneticalgorithmoptimizedsupportvectormachines AT zhangheng concentrationpredictionofpolymerinsulationagingindicatoralcoholsinoilbasedongeneticalgorithmoptimizedsupportvectormachines AT wangyuxuan concentrationpredictionofpolymerinsulationagingindicatoralcoholsinoilbasedongeneticalgorithmoptimizedsupportvectormachines AT luoyiwen concentrationpredictionofpolymerinsulationagingindicatoralcoholsinoilbasedongeneticalgorithmoptimizedsupportvectormachines AT hejiaxuan concentrationpredictionofpolymerinsulationagingindicatoralcoholsinoilbasedongeneticalgorithmoptimizedsupportvectormachines AT yuxiaotang concentrationpredictionofpolymerinsulationagingindicatoralcoholsinoilbasedongeneticalgorithmoptimizedsupportvectormachines AT zhangyiyi concentrationpredictionofpolymerinsulationagingindicatoralcoholsinoilbasedongeneticalgorithmoptimizedsupportvectormachines AT liujiefeng concentrationpredictionofpolymerinsulationagingindicatoralcoholsinoilbasedongeneticalgorithmoptimizedsupportvectormachines AT shuangfeng concentrationpredictionofpolymerinsulationagingindicatoralcoholsinoilbasedongeneticalgorithmoptimizedsupportvectormachines |