ROLLING BEARING FAULT DIAGNOSIS BASED ON ADAPTIVE FEATURE SELECTION <italic>k</italic>-SUB CONVEX HULL
Feature selection and classifier design are often studied separately in rolling bearing fault diagnosis, so it is difficult to obtain satisfactory classification accuracy. An adaptive feature selection <italic>k</italic>-sub convex hull (AFSKCH) classificationmodel was proposed by combin...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Strength
2024-04-01
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| Series: | Jixie qiangdu |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.02.001 |
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