Deep balanced domain adaptation neural networks for fault diagnosis of planetary gearboxes with limited labeled data-Reference-Cited by-同舟云学术

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Deep balanced domain adaptation neural networks for fault diagnosis of planetary gearboxes with limited labeled data

Published:2020-05 Issue: Volume:156 Page:107570
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Li Qikang,Tang Baoping,Deng Lei,Wu Yanling,Wang Yi

Funder

National Natural Science Foundation of China

Science and Technology Projects in Chongqing

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference36 articles.

1. Condition monitoring and fault diagnosis of planetary gearboxes: a review;Lei;Measurement,2014

2. Vibration signal models for fault diagnosis of planetary gearboxes;Feng;J. Sound Vib.,2012

3. Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: a review;Wang;Mech. Syst. Sig. Process.,2019

4. Deep learning;LeCun;Nature,2015

5. An integrated approach to planetary gearbox fault diagnosis using deep belief networks;Chen;Meas. Sci. Technol.,2016

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