Fault diagnosis of rigid guide based on wavelet transform and improved convolutional neural network

Fault diagnosis of rigid guide based on wavelet transform and improved convolutional neural network

Some of the existing fault diagnosis methods for rigid guide are only suitable for small sample data sets. Although some methods are suitable for large sample data sets, they ignore the multi-condition background in the actual working environment. The method of rigid guide fault diagnosis based on t...

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Bibliographic Details
Main Authors: DU Fei, MA Tianbing, HU Weikang, LYU Yinghui, PENG Meng
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2022-09-01
Series:Gong-kuang zidonghua
Subjects:
vertical shaft hoisting
rigid guide
fault diagnosis
dislocation defect
gap defect
wavelet transform
two-dimensional time-frequency image
convolutional neural network
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.17964

Internet

http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.17964

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