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Wenbin Pan

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Open access Aug 2026

Digital twin information adaptive model and measured data fusion based bearing fault diagnosis

Bearings are widely utilized in industrial applications. Their condition critically influences the stability, reliability, and accuracy of the equipment. Traditional fault diagnosis approaches typically depend on comprehensive fault data for accurate identification. However, challenges such as inadequate fault data and...

Cun-Song Wang, Chang-Min Yan, Wenbin Pan et al. · 0 citations

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