Analyze on Fault Signal Denoising and Diagnosis of EEMD-DWT Gearbox of Crusher
In order to improve the fault diagnosis ability of mill gearbox,a new joint noise reduction technology through EEMD-DWT was designed by using EEMD algorithm and discrete wavelet transform denoising technology,to ensure that useful features can be fully retained on the premise of noise removal.The EEMD-DWT method is used to reduce the noise and obtain smooth sig-nals,and the characteristics of signal waveform can be restored ideally,achieving excellent noise reduction performance.The re-sults show that the waveform with obvious impact characteristics is formed after EEMD-DWT noise reduction,which plays a sig-nificant suppression effect on the noise component with amplitude near zero,and fully retains the original vibration characteris-tics under the condition of noise removal.Compared with other separate noise reduction methods,the EEMD-DWT noise reduc-tion method designed in this paper has better noise reduction performance and can meet the actual noise reduction analysis re-quirements of mill gearbox vibration process.This research can effectively make up for the defects of EEMD in vibration signal noise reduction,improve the fault identification efficiency of gear box,and can also be applied to other transmission mecha-nisms,which has high popularization value.
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