HAL (France)
open access
Rolling Bearing Fault Detection using Deep Learning Model: Intelligent Manufacturing Industry 4.0 / 5.0
This paper proposes a new problem diagnosis method for smart and heavy manufacturing bearings. Instead of feature extraction, the suggested method processes defect signals with a convolutional neural network (CNN). It solves the problems of weak fault signals and high background noise, which lower d
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