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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Main Authors: Jian Sun, Piljae Im, Yeonjin Bae, Jeff Munk, Teja Kuruganti, Brian Fricke
Format: Article
Language:English
Published: Nature Publishing Group 2021-05-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-021-00927-6
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spelling doaj-0f4e6cea84194516a8164c381b9213ea2021-05-30T11:43:43ZengNature Publishing GroupScientific Data2052-44632021-05-018111010.1038/s41597-021-00927-6Dataset of low global warming potential refrigerant refrigeration system for fault detection and diagnosticsJian Sun0Piljae Im1Yeonjin Bae2Jeff Munk3Teja Kuruganti4Brian Fricke5Electrification and Energy Infrastructures Division, Oak Ridge National LaboratoryElectrification and Energy Infrastructures Division, Oak Ridge National LaboratoryElectrification and Energy Infrastructures Division, Oak Ridge National LaboratoryElectrification and Energy Infrastructures Division, Oak Ridge National LaboratoryComputational Sciences and Engineering Division, Oak Ridge National LaboratoryBuildings and Transportation Science Division, Oak Ridge National LaboratoryMeasurement(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.14384321https://doi.org/10.1038/s41597-021-00927-6
collection DOAJ
language English
format Article
sources DOAJ
author Jian Sun
Piljae Im
Yeonjin Bae
Jeff Munk
Teja Kuruganti
Brian Fricke
spellingShingle 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
Scientific Data
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 Publishing Group
series Scientific Data
issn 2052-4463
publishDate 2021-05-01
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
url https://doi.org/10.1038/s41597-021-00927-6
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