dc.contributor.author | Fernández Costales, Miguel | |
dc.contributor.author | Fernández Miaja, Pablo | |
dc.contributor.author | Arias Pérez de Azpeitia, Manuel | |
dc.contributor.author | Fernández Álvarez, José Antonio | |
dc.date.accessioned | 2024-11-05T07:54:34Z | |
dc.date.available | 2024-11-05T07:54:34Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | https://hdl.handle.net/10651/75373 | |
dc.description | SPAICE Conference on AI in and for Space (1st. 2024. European Centre for Space Applications and Telecommunications (ECSAT), UK) | spa |
dc.description.abstract | The Electrical Power Subsystem (EPS) of a spacecraft is paramount to its operation since it will guarantee that every piece of equipment is receiving its required power. Therefore, the reliability of the power subsystem is one of the cornerstones of the full spacecraft reliability. DC/DC converters are one of the main constituents of the power subsystems. A method able to estimate the degradation of a dc-dc converter would enhance the power system reliability. It would allow to detect dc-dc converters prone to failure and to take corrective actions to extend their remaining lifespan. | spa |
dc.description.sponsorship | This work has been funded by the Spanish Ministry of Science through PID2021-127707OB-C21 and by the Principality of Asturias through PA-23-BP21-207. | spa |
dc.language.iso | eng | spa |
dc.relation.ispartof | 1st SPAICE Conference on AI in and for Space | spa |
dc.rights | © 2024 ESA | |
dc.subject | DC/DC Converters | spa |
dc.subject | Power electronics | spa |
dc.subject | Space | spa |
dc.subject | Artificial Intelligence | spa |
dc.title | Deep-Neural-Network-based anomaly detector for DC/DC power converter failure detection | spa |
dc.type | conference output | spa |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-127707OB-C21/ES/NEW TOPOLOGIES FOR A STANDARDIZED POWER DISTRIBUTION SYSTEM IN SATELLITES (NETODIS)/ | spa |
dc.relation.projectID | PA-23-BP21-207 | spa |
dc.rights.accessRights | open access | spa |
dc.type.hasVersion | AM | spa |