论文信息 - Convolutional Neural Network Based Bearing Fault Diagnosis

Convolutional Neural Network Based Bearing Fault Diagnosis

In this paper, we propose a new bearing fault diagnosis method without the feature extraction, based on Convolutional Neural Network (CNN). The 1-D vibration signal is converted to 2-D data called vibration image. Then, the vibration images are fed into the CNN for bearing fault classification. Experiments are carried out with bearing data from the Case Western Reserve University Bearing Fault Database and its result are compared with the results of other methods to show the effectiveness of the proposed algorithm.

Hee-Jun Kang | Duy-Tang Hoang

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