Fault diagnosis of rolling bearing of wind turbines based on the Variational Mode Decomposition and Deep Convolutional Neural Networks
Author:
Funder
National Natural Science Foundation of China
Science and Technology Commission of Shanghai Municipality, China
Royal Society, United Kingdom
Publisher
Elsevier BV
Subject
Software
Reference31 articles.
1. Offshore Wind Outlook 2019;International Energy Agency (IEA),2019
2. Health effects of wind turbines in working environments – a scoping review;Freiberg;Scand. J. Work Environ. Health,2018
3. Coordinated pitch & torque control of large-scale wind turbine based on Pareto efficiency analysis;Lin;Energy,2018
4. Rolling bearing fault diagnosis based on time-delayed feedback monostable stochastic resonance and adaptive minimum entropy deconvolution;Li;J. Sound Vib.,2017
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