An efficient neural network-based surrogate model for predicting static gear contact conditions

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SPIRE - Sciences Po Institutional REpository
Published
2025-05-20
Primary Topic
Gear and Bearing Dynamics Analysis
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article
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article

An efficient neural network-based surrogate model for predicting static gear contact conditions

Adrien Mélot, Emmanuel Rigaud, Valentin Mouton, Joël Perret-Liaudet
SPIRE - Sciences Po Institutional REpository
Gear and Bearing Dynamics Analysis
article

An efficient neural network-based surrogate model for predicting static gear contact conditions

Adrien Mélot, Emmanuel Rigaud, Valentin Mouton, Joël Perret-Liaudet
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Laboratoire de Tribologie et Dynamique des Systèmes (FR)
Openalex Percentile: Top 58%
Gear and Bearing Dynamics Analysis
Open Access PDFOpenAlex
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An efficient neural network-based surrogate model for predicting static gear contact conditions — Adrien Mélot, Emmanuel Rigaud, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS