Intelligent Rail Flaw Detection System Based on Deep Learning and Support Vector Machine
Currently, detection systems of rail flaw detection vehicles in China have automatic flaw recognition function, which has problems with low accuracy, high false alarm rate and occurrence of underreport because of the adoption of simple logic judgment method based on the existing rules. In view of pr...
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| Main Authors: | Jiangping LUO, Xizhuo YU, Jingwei CAO, Weihong DU |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Electric Drive for Locomotives
2021-03-01
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| Series: | 机车电传动 |
| Subjects: | |
| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2021.02.016 |
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