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

Abstract

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.

A hybrid method combining Teager Kaiser energy operator, empirical mode decomposition and minimum entropy deconvolution for monitoring gears damages

“…Soltani et al [13] proposed a combined method based on wavelet and TKEO to improve the diagnosis of gear faults. Zhong et al [14] decomposed gear faults of a wind turbine gearbox on a multiple component using EMD; after that, TKEO was applied to the selected IMF. Zhipeng et al [15] proposed a method for fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition (EEMD) and energy separation.…”