Digital Twin-Driven Virtual–Real Hybrid Framework Based on Parameter Identification for Bearing Thermal Prediction

Digital Twin-Driven Virtual–Real Hybrid Framework Based on Parameter Identification for Bearing Thermal Prediction

Accurate temperature prediction is critical for ensuring mechanical stability and operational safety during complex operating conditions and long-term operation of rolling bearings. This study proposes a digital twin (DT) system for bearing thermal analysis and a digital twin-driven virtual–real hyb...

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Bibliographic Details
Main Authors: Yu Wang, Qingbin Tong, Luqiang Yang, Junci Cao, Jiang Cao
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
digital twin
thermal prediction
parameter identification
rolling bearings
Online Access:https://www.mdpi.com/2076-3417/15/12/6671
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