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

Autor: Jian Sun, Piljae Im, Yeonjin Bae, Jeff Munk, Teja Kuruganti, Brian Fricke
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
Druh dokumentu: article
ISSN: 2052-4463
DOI: 10.1038/s41597-021-00927-6
Popis: 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
Databáze: Directory of Open Access Journals