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...