Application of KTA-KELM in Fault Diagnosis of Rolling Bearing
In the process of data-driven rolling bearing state identification model construction，the improper selection of the radial width parameter σ of the Gaussian kernel function in the Kernel Extreme Learning Machine（KELM）algorithm is very easy to cause poor classification accuracy. A method for identify...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado em: |
Editorial Office of Journal of Mechanical Transmission
2019-06-01
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| coleção: | Jixie chuandong |
| Assuntos: | |
| Acesso em linha: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2019.06.030 |
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