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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Bibliografiske detaljer

Principais autores:	ZHANG RongTao, CHEN ZhiGao, LI BinBin, JIAO Bin
Format:	Artigo
Sprog:	Chinês
Udgivet:	Editorial Office of Journal of Mechanical Strength 2020-01-01
Serier:	Jixie qiangdu
Fag:	Gearbox Fault diagnosis Convolutional neural network XGBoost
Online adgang:	http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.05.007
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