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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-05-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-021-00927-6 |
| _version_ | 1818842790391447552 |
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| 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 |
| collection | DOAJ |
| 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 |
| first_indexed | 2024-12-19T04:47:34Z |
| format | Article |
| id | doaj.art-0f4e6cea84194516a8164c381b9213ea |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-12-19T04:47:34Z |
| publishDate | 2021-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-0f4e6cea84194516a8164c381b9213ea2022-12-21T20:35:26ZengNature PortfolioScientific 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 |
| 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 |
| title | 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_short | 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 |
| url | https://doi.org/10.1038/s41597-021-00927-6 |
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