Digital Twin-based Bearing Fault Diagnosis Using a 4-DOF Model and Hybrid Deep Learning

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Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-10-14
Primary Topic
Agricultural pest management studies
Type
article
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article

Digital Twin-based Bearing Fault Diagnosis Using a 4-DOF Model and Hybrid Deep Learning

SPIRE - Sciences Po Institutional REpository
Agricultural pest management studies
article

Digital Twin-based Bearing Fault Diagnosis Using a 4-DOF Model and Hybrid Deep Learning

article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Université de Bretagne Occidentale (FR), Polytechnic School of Algiers (DZ), Laboratoire de Génie Électrique et Électronique de Paris (FR), Institut de Recherche Dupuy de Lôme (FR)
Partnerships for the goals
Openalex Percentile: Top 31%
Agricultural pest management studies
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Digital Twin-based Bearing Fault Diagnosis Using a 4-DOF Model and Hybrid Deep Learning · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS