De-Noising Study of Gearbox Vibration Signal Based on Wavelet Analysis
Jixing Zhang
Abstract
Jixing Zhang
Abstract
The theory of wavelet transform and the principle of wavelet de-noising are used to carry out the wavelet de-noising for the vibration signals of gearbox and extract feature from noise signals,which is to improve the accuracy of fault diagnosis of gearbox and provide important reference value of early weak fault signal detection gearbox.Through FFT transform of the wavelet,de-noising for artificial signals is carried out and when compared with signals that with not de-noising wavelet and FFT transform,the superiority of the wavelet de-noising method is verified.Finally,through wavelet de-noised process for the actual signal,it is proved that de-noising study is effective on dispel noise.
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The theory of wavelet transform and the principle of wavelet de-noising are used to carry out the wavelet de-noising for the vibration signals of gearbox and extract feature from noise signals,which is to improve the accuracy of fault diagnosis of gearbox and provide important reference value of early weak fault signal detection gearbox.Through FFT transform of the wavelet,de-noising for artificial signals is carried out and when compared with signals that with not de-noising wavelet and FFT transform,the superiority of the wavelet de-noising method is verified.Finally,through wavelet de-noised process for the actual signal,it is proved that de-noising study is effective on dispel noise.
Key concepts: Wavelet, Second-generation wavelet transform, Stationary wavelet transform, Wavelet transform, Discrete wavelet transform, Wavelet packet decomposition, Harmonic wavelet transform, Lifting scheme