An Efficient CNN with Tunable Input-Size for Bearing Fault Diagnosis
Deep learning can automatically learn the complex features of input data and is recognized as an effective method for bearing fault diagnosis. Convolution neuron network (CNN) has been successfully used in image classification, and images of vibration signal or time-frequency information from short-...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2021-01-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/125951369/view |