Based on the combination prediction method for the characteristic parameters prediction of power transmission and transformation equipment

The safe and stable operation of power transmission and transformation equipment is the foundation of power grid safety, so the prediction of power transmission and transformation equipment fault is particularly important, and the prediction of the characteristic parameters that affect the equipment...

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Autores principales:	Jiafeng Qin, Chao Zhou, Ying Lin, Demeng Bai, Wenjie Zheng
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Power transmission and transformation equipment Multi-factor prediction Characteristic parameters Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/b20edd11e32f43dca81b37cc966a7f1d
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id	oai:doaj.org-article:b20edd11e32f43dca81b37cc966a7f1d
record_format	dspace
spelling	oai:doaj.org-article:b20edd11e32f43dca81b37cc966a7f1d2021-12-04T04:35:05ZBased on the combination prediction method for the characteristic parameters prediction of power transmission and transformation equipment2352-484710.1016/j.egyr.2021.11.125https://doaj.org/article/b20edd11e32f43dca81b37cc966a7f1d2022-04-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721012725https://doaj.org/toc/2352-4847The safe and stable operation of power transmission and transformation equipment is the foundation of power grid safety, so the prediction of power transmission and transformation equipment fault is particularly important, and the prediction of the characteristic parameters that affect the equipment fault is the core of fault prediction. In this paper, a method for predicting the characteristic parameters of power transmission and transformation equipment based on combination prediction is presented. According to the correlation analysis results of various parameters, the key prediction input data with high correlation degree with the predicted parameters are extracted automatically, and the method library including multiple single-factor prediction models, multi-factor prediction models and combined prediction models is established. The error checking method is used to automatically select the optimal prediction method, and then the characteristic parameters of the parameter are automatically predicted. The test results show that the multi-factor power transmission and transformation equipment fault feature parameter prediction method can improve the accuracy of prediction, and is of great significance to improve the scientific evaluation of equipment health status and the prediction of equipment fault.Jiafeng QinChao ZhouYing LinDemeng BaiWenjie ZhengElsevierarticlePower transmission and transformation equipmentMulti-factor predictionCharacteristic parametersElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 8, Iss , Pp 589-595 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Power transmission and transformation equipment Multi-factor prediction Characteristic parameters Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Power transmission and transformation equipment Multi-factor prediction Characteristic parameters Electrical engineering. Electronics. Nuclear engineering TK1-9971 Jiafeng Qin Chao Zhou Ying Lin Demeng Bai Wenjie Zheng Based on the combination prediction method for the characteristic parameters prediction of power transmission and transformation equipment
description	The safe and stable operation of power transmission and transformation equipment is the foundation of power grid safety, so the prediction of power transmission and transformation equipment fault is particularly important, and the prediction of the characteristic parameters that affect the equipment fault is the core of fault prediction. In this paper, a method for predicting the characteristic parameters of power transmission and transformation equipment based on combination prediction is presented. According to the correlation analysis results of various parameters, the key prediction input data with high correlation degree with the predicted parameters are extracted automatically, and the method library including multiple single-factor prediction models, multi-factor prediction models and combined prediction models is established. The error checking method is used to automatically select the optimal prediction method, and then the characteristic parameters of the parameter are automatically predicted. The test results show that the multi-factor power transmission and transformation equipment fault feature parameter prediction method can improve the accuracy of prediction, and is of great significance to improve the scientific evaluation of equipment health status and the prediction of equipment fault.
format	article
author	Jiafeng Qin Chao Zhou Ying Lin Demeng Bai Wenjie Zheng
author_facet	Jiafeng Qin Chao Zhou Ying Lin Demeng Bai Wenjie Zheng
author_sort	Jiafeng Qin
title	Based on the combination prediction method for the characteristic parameters prediction of power transmission and transformation equipment
title_short	Based on the combination prediction method for the characteristic parameters prediction of power transmission and transformation equipment
title_full	Based on the combination prediction method for the characteristic parameters prediction of power transmission and transformation equipment
title_fullStr	Based on the combination prediction method for the characteristic parameters prediction of power transmission and transformation equipment
title_full_unstemmed	Based on the combination prediction method for the characteristic parameters prediction of power transmission and transformation equipment
title_sort	based on the combination prediction method for the characteristic parameters prediction of power transmission and transformation equipment
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/b20edd11e32f43dca81b37cc966a7f1d
work_keys_str_mv	AT jiafengqin basedonthecombinationpredictionmethodforthecharacteristicparameterspredictionofpowertransmissionandtransformationequipment AT chaozhou basedonthecombinationpredictionmethodforthecharacteristicparameterspredictionofpowertransmissionandtransformationequipment AT yinglin basedonthecombinationpredictionmethodforthecharacteristicparameterspredictionofpowertransmissionandtransformationequipment AT demengbai basedonthecombinationpredictionmethodforthecharacteristicparameterspredictionofpowertransmissionandtransformationequipment AT wenjiezheng basedonthecombinationpredictionmethodforthecharacteristicparameterspredictionofpowertransmissionandtransformationequipment
_version_	1718372989306667008

Based on the combination prediction method for the characteristic parameters prediction of power transmission and transformation equipment

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