Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics

Ramirez García, Ibai; Alcibar Ibarzabal, Jokin; Pino Gomez, Joel; Sanz, Mikel; Pardo, David; Aizpurua Unanue, Jose

dc.rights.license	Attribution 4.0 International
dc.contributor.author	Ramirez García, Ibai
dc.contributor.author	Alcibar Ibarzabal, Jokin
dc.contributor.author	Pino Gomez, Joel
dc.contributor.author	Sanz, Mikel
dc.contributor.author	Pardo, David
dc.contributor.author	Aizpurua Unanue, Jose
dc.date.accessioned	2026-04-20T07:21:55Z
dc.date.available	2026-04-20T07:21:55Z
dc.date.issued	2025
dc.identifier.isbn	9781936263295
dc.identifier.issn	2325-0178
dc.identifier.other	https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=200646
dc.identifier.uri	https://hdl.handle.net/20.500.11984/14312
dc.format.extent	17 p.
dc.language.iso	eng
dc.publisher	Prognostics and Health Management Society
dc.rights	© 2025 The Authors
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.title	Bayesian Physics Informed Neural Networks for Reliable Transformer Prognostics
dcterms.accessRights	http://purl.org/coar/access_right/c_abf2
dcterms.source	Annual Conference of the Prognostics and Health Management Society (PHM)
local.contributor.group	Teoría de la señal y comunicaciones
local.description.peerreviewed	true
local.identifier.doi	https://doi.org/10.36001/phmconf.2025.v17i1.4344
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local.source.details	17. Bellevue (Estados Unidos), October 27-30, 2025
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