Detection of Epileptic Spikes with Empirical Mode Decomposition and Nonlinear Energy Operator

2005 ◽  
pp. 445-450 ◽  
Author(s):  
Suyuan Cui ◽  
Xiaoli Li ◽  
Gaoxiang Ouyang ◽  
Xinping Guan
Keyword(s):  
Empirical Mode Decomposition ◽  
Energy Operator ◽  
Mode Decomposition ◽  
Epileptic Spikes ◽  
Nonlinear Energy ◽  
Nonlinear Energy Operator

Fault Diagnosis for Wind Turbine Gearboxes Based on EMD and the Energy Operator

2013 ◽  
Vol 281 ◽  
pp. 10-13 ◽  
Author(s):  
Xian You Zhong ◽  
Liang Cai Zeng ◽  
Chun Hua Zhao ◽  
Xian Ming Liu ◽  
Shi Jun Chen
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbine ◽  
Empirical Mode Decomposition ◽  
Energy Operator ◽  
Vibration Signal ◽  
Intrinsic Mode Functions ◽  
Wind Turbine Gearbox ◽  
Mode Decomposition ◽  
The Cost ◽  
Fault Information

Wind turbine gearbox is subjected to different sorts of failures, which lead to the increasement of the cost. A approach to fault diagnosis of wind turbine gearbox based on empirical mode decomposition (EMD) and teager kaiser energy operator (TKEO) is presented. Firstly, the original vibration signal is decomposed into a number of intrinsic mode functions (IMFs) using EMD. Then the IMF containing fault information is analyzed with TKEO, The experimental results show that EMD and TKEO can be used to effectively diagnose faults of wind turbine gearbox.

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