RESEARCH ON GEAR BOX FAULT DIAGNOSIS BASED ON DCNN AND XGBOOST ALGORITHM

RESEARCH ON GEAR BOX FAULT DIAGNOSIS BASED ON DCNN AND XGBOOST ALGORITHM

In order to solve the problem of complex fault diagnosis of gearbox,the DCNN（ Deep Convolution Neural Network） was combined with the XGBoost（ e Xtreme Gradient Boosting） algorithm to establish the fault diagnosis model. Firstly,the DCNN Model was used to adaptively extract the feature matrix of the...

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Bibliographic Details
Main Authors: ZHANG RongTao, CHEN ZhiGao, LI BinBin, JIAO Bin
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2020-01-01
Series:Jixie qiangdu
Subjects:
Gearbox
Fault diagnosis
Convolutional neural network
XGBoost
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.05.007

Internet

http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.05.007

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