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- W2383363048 abstract "Function relation is established through the electric motor and the rolling bearing vibration signal into a harmonic component, and then analysis the harmonic component. The non-stationary signal first experimental modal analysis(EMD), and then through the improved LMS algorithm adaptive filter to filter noise, finally in the use of Hilbert transform to get the fault bearing spectrum. Simulation results show that this method can eliminate most of the noise and low-frequency interference, and easy to implement, ultimately, the vibration signal meets the requirements of fault diagnosis." @default.
- W2383363048 created "2016-06-24" @default.
- W2383363048 creator A5025620691 @default.
- W2383363048 date "2015-01-01" @default.
- W2383363048 modified "2023-09-23" @default.
- W2383363048 title "Bearing Fault Diagnosis Based on HHT Transform and Improved LMS Algorithm" @default.
- W2383363048 hasPublicationYear "2015" @default.
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