Intelligent fault diagnosis method of planetary gearboxes based on convolution neural network and discrete wavelet transform

Author:

Chen Renxiang,Huang Xin,Yang Lixia,Xu Xiangyang,Zhang Xia,Zhang Yong

Funder

National Natural Science Foundation of China

Chongqing Research Program of Frontier and Application Foundation

Chongqing technology innovation and application demonstration program

Venture & Innovation Support Program for Chongqing Overseas Returnees

The State Key Laboratory of mechanical transmission open fund

Chongqing Key Laboratory of Urban Rail Transit System Integration and Control open fund

Chongqing Graduate Education Innovation Fund Project

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference46 articles.

1. A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox;Jing;Meas. J. Int. Meas. Confeder.,2017

2. Fault diagnosis for a wind turbine transmission system based on manifold learning and Shannon wavelet support vector machine;Tang;Renew. Energy,2014

3. EEMD method and WNN for fault diagnosis of locomotive roller bearings;Lei;Expert Syst. Appl.,2011

4. A roller bearing fault diagnosis method based on EMD energy entropy and ANN;Yang;J. Sound Vib.,2006

5. Wind turbine fault diagnosis method based on diagonal spectrum and clustering binary tree SVM;Liu;Renew. Energy,2013

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