Abstract
Acoustic emission detection principle was used in testing the working status of Gezhouba Dam ship lock mechanical hoist reducer. According to wavelet analysis technology, high frequency signals of the acoustic emission is decomposed and reconstructed so as to eliminate noise and improve the signal-to-noise ratio. Then the Hilbert envelope transformation analysis is adopted to identify fault information. The results show that wavelet envelope spectrum analysis of the acoustic emission signals can be effectively used in fault diagnosis of reduction gearbox.
Published Version
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