Invalid Data Rejection of Audible Noise on AC Transmission Lines Based on Moving Window Kernel Principal Component Analysis

The statistical characteristics of the nighttime noise data of 1000 kV AC transmission lines were investigated, the noise data of the Huainan-Shanghai 1000 kV AC transmission line collected at night (0:00 to 6:00) from September 25, 2015, to February 16, 2016, were statistically analyzed using the n...

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Autores principales:	Ziyi Cheng, Zhenhua Li, Yuehua Huang, Weifang Yao, Huichun Xie
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	effective data AC UHV transmission lines audible noise MWKPCA General Works A
Acceso en línea:	https://doaj.org/article/473b291b91214db5a18b18b13453317a
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spelling	oai:doaj.org-article:473b291b91214db5a18b18b13453317a2021-11-05T13:04:28ZInvalid Data Rejection of Audible Noise on AC Transmission Lines Based on Moving Window Kernel Principal Component Analysis2296-598X10.3389/fenrg.2021.775519https://doaj.org/article/473b291b91214db5a18b18b13453317a2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fenrg.2021.775519/fullhttps://doaj.org/toc/2296-598XThe statistical characteristics of the nighttime noise data of 1000 kV AC transmission lines were investigated, the noise data of the Huainan-Shanghai 1000 kV AC transmission line collected at night (0:00 to 6:00) from September 25, 2015, to February 16, 2016, were statistically analyzed using the nonparametric statistical K-S test, and the outliers were detected using the moving window kernel principal component analysis (MWKPCA). The results show that after the ineffective data are removed by MWKPCA, the 5, 50, and 95% values of the data are basically unchanged. To a certain extent, the method proposed in this paper can remove the invalid audible noise (AN) data of 1000 kV AC transmission lines without affecting the subsequent study of AN, we use various machine learning algorithms to predict the A weight sound level (Awsl) before and after the invalid data rejection, and the results show that the invalid data rejection has contributed to the improvement of the transmission line AN Awsl prediction accuracy.Ziyi ChengZiyi ChengZhenhua LiYuehua HuangWeifang YaoHuichun XieFrontiers Media S.A.articleeffective dataACUHV transmission linesaudible noiseMWKPCAGeneral WorksAENFrontiers in Energy Research, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	effective data AC UHV transmission lines audible noise MWKPCA General Works A
spellingShingle	effective data AC UHV transmission lines audible noise MWKPCA General Works A Ziyi Cheng Ziyi Cheng Zhenhua Li Yuehua Huang Weifang Yao Huichun Xie Invalid Data Rejection of Audible Noise on AC Transmission Lines Based on Moving Window Kernel Principal Component Analysis
description	The statistical characteristics of the nighttime noise data of 1000 kV AC transmission lines were investigated, the noise data of the Huainan-Shanghai 1000 kV AC transmission line collected at night (0:00 to 6:00) from September 25, 2015, to February 16, 2016, were statistically analyzed using the nonparametric statistical K-S test, and the outliers were detected using the moving window kernel principal component analysis (MWKPCA). The results show that after the ineffective data are removed by MWKPCA, the 5, 50, and 95% values of the data are basically unchanged. To a certain extent, the method proposed in this paper can remove the invalid audible noise (AN) data of 1000 kV AC transmission lines without affecting the subsequent study of AN, we use various machine learning algorithms to predict the A weight sound level (Awsl) before and after the invalid data rejection, and the results show that the invalid data rejection has contributed to the improvement of the transmission line AN Awsl prediction accuracy.
format	article
author	Ziyi Cheng Ziyi Cheng Zhenhua Li Yuehua Huang Weifang Yao Huichun Xie
author_facet	Ziyi Cheng Ziyi Cheng Zhenhua Li Yuehua Huang Weifang Yao Huichun Xie
author_sort	Ziyi Cheng
title	Invalid Data Rejection of Audible Noise on AC Transmission Lines Based on Moving Window Kernel Principal Component Analysis
title_short	Invalid Data Rejection of Audible Noise on AC Transmission Lines Based on Moving Window Kernel Principal Component Analysis
title_full	Invalid Data Rejection of Audible Noise on AC Transmission Lines Based on Moving Window Kernel Principal Component Analysis
title_fullStr	Invalid Data Rejection of Audible Noise on AC Transmission Lines Based on Moving Window Kernel Principal Component Analysis
title_full_unstemmed	Invalid Data Rejection of Audible Noise on AC Transmission Lines Based on Moving Window Kernel Principal Component Analysis
title_sort	invalid data rejection of audible noise on ac transmission lines based on moving window kernel principal component analysis
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/473b291b91214db5a18b18b13453317a
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_version_	1718444223789793280

Invalid Data Rejection of Audible Noise on AC Transmission Lines Based on Moving Window Kernel Principal Component Analysis

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