Dataset of low global warming potential refrigerant refrigeration system for fault detection and diagnostics

Measurement(s) fault detection and diagnostics • temperature • pressure • mass flow rate • power Technology Type(s) fault imposition • measurement device Factor Type(s) fault type • fault scenario Sample Characteristic - Environment refrigeration system Machine-accessible metadata file describing th...

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Autores principales:	Jian Sun, Piljae Im, Yeonjin Bae, Jeff Munk, Teja Kuruganti, Brian Fricke
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/0f4e6cea84194516a8164c381b9213ea
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spelling	oai:doaj.org-article:0f4e6cea84194516a8164c381b9213ea2021-12-02T16:53:12ZDataset of low global warming potential refrigerant refrigeration system for fault detection and diagnostics10.1038/s41597-021-00927-62052-4463https://doaj.org/article/0f4e6cea84194516a8164c381b9213ea2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41597-021-00927-6https://doaj.org/toc/2052-4463Measurement(s) fault detection and diagnostics • temperature • pressure • mass flow rate • power Technology Type(s) fault imposition • measurement device Factor Type(s) fault type • fault scenario Sample Characteristic - Environment refrigeration system Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14384321Jian SunPiljae ImYeonjin BaeJeff MunkTeja KurugantiBrian FrickeNature PortfolioarticleScienceQENScientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Jian Sun Piljae Im Yeonjin Bae Jeff Munk Teja Kuruganti Brian Fricke Dataset of low global warming potential refrigerant refrigeration system for fault detection and diagnostics
description	Measurement(s) fault detection and diagnostics • temperature • pressure • mass flow rate • power Technology Type(s) fault imposition • measurement device Factor Type(s) fault type • fault scenario Sample Characteristic - Environment refrigeration system Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14384321
format	article
author	Jian Sun Piljae Im Yeonjin Bae Jeff Munk Teja Kuruganti Brian Fricke
author_facet	Jian Sun Piljae Im Yeonjin Bae Jeff Munk Teja Kuruganti Brian Fricke
author_sort	Jian Sun
title	Dataset of low global warming potential refrigerant refrigeration system for fault detection and diagnostics
title_short	Dataset of low global warming potential refrigerant refrigeration system for fault detection and diagnostics
title_full	Dataset of low global warming potential refrigerant refrigeration system for fault detection and diagnostics
title_fullStr	Dataset of low global warming potential refrigerant refrigeration system for fault detection and diagnostics
title_full_unstemmed	Dataset of low global warming potential refrigerant refrigeration system for fault detection and diagnostics
title_sort	dataset of low global warming potential refrigerant refrigeration system for fault detection and diagnostics
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0f4e6cea84194516a8164c381b9213ea
work_keys_str_mv	AT jiansun datasetoflowglobalwarmingpotentialrefrigerantrefrigerationsystemforfaultdetectionanddiagnostics AT piljaeim datasetoflowglobalwarmingpotentialrefrigerantrefrigerationsystemforfaultdetectionanddiagnostics AT yeonjinbae datasetoflowglobalwarmingpotentialrefrigerantrefrigerationsystemforfaultdetectionanddiagnostics AT jeffmunk datasetoflowglobalwarmingpotentialrefrigerantrefrigerationsystemforfaultdetectionanddiagnostics AT tejakuruganti datasetoflowglobalwarmingpotentialrefrigerantrefrigerationsystemforfaultdetectionanddiagnostics AT brianfricke datasetoflowglobalwarmingpotentialrefrigerantrefrigerationsystemforfaultdetectionanddiagnostics
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Dataset of low global warming potential refrigerant refrigeration system for fault detection and diagnostics

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