Digital twin-based hybrid framework for steam generator clogging prognostics

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Jaber, Edgar, Remy, Emmanuel, Chabridon, Vincent, Garo-Sail, Morgane, Mougeot, Mathilde, Lucor, Didier, Delplace, Jerome, Lointier, Maxime
Formato: Preprint
Publicado: 2026
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866908983114072064
author Jaber, Edgar
Remy, Emmanuel
Chabridon, Vincent
Garo-Sail, Morgane
Mougeot, Mathilde
Lucor, Didier
Delplace, Jerome
Lointier, Maxime
author_facet Jaber, Edgar
Remy, Emmanuel
Chabridon, Vincent
Garo-Sail, Morgane
Mougeot, Mathilde
Lucor, Didier
Delplace, Jerome
Lointier, Maxime
contents We present a hybrid framework to support prognostics of the clogging degradation phenomenon in tube support plates for digital twins of steam generators in pressurized water reactors. The proposed approach combines a physics-based simulation code, heterogeneous and sparse observational data, and several uncertainty quantification techniques to obtain a robust estimate of the steam generator remaining useful life associated with the clogging rate. The proposed framework is compatible with a digital twin platform to assist maintenance planning of EDF steam generators.
format Preprint
id arxiv_https___arxiv_org_abs_2604_19175
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Digital twin-based hybrid framework for steam generator clogging prognostics
Jaber, Edgar
Remy, Emmanuel
Chabridon, Vincent
Garo-Sail, Morgane
Mougeot, Mathilde
Lucor, Didier
Delplace, Jerome
Lointier, Maxime
Computation
We present a hybrid framework to support prognostics of the clogging degradation phenomenon in tube support plates for digital twins of steam generators in pressurized water reactors. The proposed approach combines a physics-based simulation code, heterogeneous and sparse observational data, and several uncertainty quantification techniques to obtain a robust estimate of the steam generator remaining useful life associated with the clogging rate. The proposed framework is compatible with a digital twin platform to assist maintenance planning of EDF steam generators.
title Digital twin-based hybrid framework for steam generator clogging prognostics
topic Computation
url https://arxiv.org/abs/2604.19175