Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy

X Chen, Y Yang, Z Cui, J Shen - Energy, 2019 - Elsevier
The bearing vibration of wind turbines is nonlinear and non-stationary. To effectively extract
bearing vibration signal features for fault diagnosis, a method of feature vector extraction …

Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy

X Chen, Y Yang, Z Cui, J Shen - Energy, 2019 - ui.adsabs.harvard.edu
The bearing vibration of wind turbines is nonlinear and non-stationary. To effectively extract
bearing vibration signal features for fault diagnosis, a method of feature vector extraction …

Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy

X Chen, Y Yang, Z Cui, J Shen - Energy, 2019 - econpapers.repec.org
The bearing vibration of wind turbines is nonlinear and non-stationary. To effectively extract
bearing vibration signal features for fault diagnosis, a method of feature vector extraction …

Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy

X Chen, Y Yang, Z Cui, J Shen - Energy, 2019 - ideas.repec.org
The bearing vibration of wind turbines is nonlinear and non-stationary. To effectively extract
bearing vibration signal features for fault diagnosis, a method of feature vector extraction …

[引用][C] Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy

X Chen, Y Yang, Z Cui, J Shen - 2019