Research on intelligent fault diagnosis of mechanical equipment based on sparse deep neural networks
In the big data background, the accuracy of fault diagnosis and recognition has been difficult to be improved. The deep neural network was used to recognize the diagnosis rate of the bearing with four kinds of conditions and compared with traditional BP neural network, genetic neural network and par...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
JVE International
2017-06-01
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| Series: | Journal of Vibroengineering |
| Subjects: | |
| Online Access: | https://www.jvejournals.com/article/17146 |