Fault detection in switching process of a substation using the SARIMA–SPC model

Abstract To detect substation faults for timely repair, this paper proposes a fault detection method that is based on the time series model and the statistical process control method to analyze the regulation and characteristics of the behavior in the switching process. As the first time, this paper...

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Autores principales:	Guo-Feng Fan, Xiao Wei, Ya-Ting Li, Wei-Chiang Hong
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/13fd4eeca3a342eda09a412961502ac0
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spelling	oai:doaj.org-article:13fd4eeca3a342eda09a412961502ac02021-12-02T15:39:40ZFault detection in switching process of a substation using the SARIMA–SPC model10.1038/s41598-020-67925-32045-2322https://doaj.org/article/13fd4eeca3a342eda09a412961502ac02020-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-67925-3https://doaj.org/toc/2045-2322Abstract To detect substation faults for timely repair, this paper proposes a fault detection method that is based on the time series model and the statistical process control method to analyze the regulation and characteristics of the behavior in the switching process. As the first time, this paper proposes a fault detection model using SARIMA, statistical process control (SPC) methods, and 3σ criterion to analyze the characteristics in substation’s switching process. The employed approaches are both very common tools in the statistics field, however, via effectively combining them with industrial process fault diagnosis, these common statistical tolls play excellent role to achieve rich technical contributions. Finally, for different fault samples, the proposed method improves the rate of detection by at least 9% (and up to 15%) than other methods.Guo-Feng FanXiao WeiYa-Ting LiWei-Chiang HongNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-17 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Guo-Feng Fan Xiao Wei Ya-Ting Li Wei-Chiang Hong Fault detection in switching process of a substation using the SARIMA–SPC model
description	Abstract To detect substation faults for timely repair, this paper proposes a fault detection method that is based on the time series model and the statistical process control method to analyze the regulation and characteristics of the behavior in the switching process. As the first time, this paper proposes a fault detection model using SARIMA, statistical process control (SPC) methods, and 3σ criterion to analyze the characteristics in substation’s switching process. The employed approaches are both very common tools in the statistics field, however, via effectively combining them with industrial process fault diagnosis, these common statistical tolls play excellent role to achieve rich technical contributions. Finally, for different fault samples, the proposed method improves the rate of detection by at least 9% (and up to 15%) than other methods.
format	article
author	Guo-Feng Fan Xiao Wei Ya-Ting Li Wei-Chiang Hong
author_facet	Guo-Feng Fan Xiao Wei Ya-Ting Li Wei-Chiang Hong
author_sort	Guo-Feng Fan
title	Fault detection in switching process of a substation using the SARIMA–SPC model
title_short	Fault detection in switching process of a substation using the SARIMA–SPC model
title_full	Fault detection in switching process of a substation using the SARIMA–SPC model
title_fullStr	Fault detection in switching process of a substation using the SARIMA–SPC model
title_full_unstemmed	Fault detection in switching process of a substation using the SARIMA–SPC model
title_sort	fault detection in switching process of a substation using the sarima–spc model
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/13fd4eeca3a342eda09a412961502ac0
work_keys_str_mv	AT guofengfan faultdetectioninswitchingprocessofasubstationusingthesarimaspcmodel AT xiaowei faultdetectioninswitchingprocessofasubstationusingthesarimaspcmodel AT yatingli faultdetectioninswitchingprocessofasubstationusingthesarimaspcmodel AT weichianghong faultdetectioninswitchingprocessofasubstationusingthesarimaspcmodel
_version_	1718385856264273920

Fault detection in switching process of a substation using the SARIMA–SPC model

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