Feature Extraction for Low-Speed Bearing Fault Diagnosis Based on . . . To address the issue of difficult extraction of bearing fault features caused by weak fault features and strong environmental noise in low-speed, a low-speed bearing fault diagnosis method based on wavelet threshold denoising and spectral amplitude modulation is proposed
Feature Extraction for Low-Speed Bearing Fault Diagnosis Based on . . . Abstract: To address the issue of difficult extraction of bearing fault features caused by weak fault features and strong environmental noise in low-speed, a low-speed bearing fault diagnosis method based on wavelet threshold denoising and spectral amplitude modulation is proposed
Feature Extraction for Low-Speed Bearing Fault Diagnosis Based on . . . To address the issue of difficult extraction of bearing fault features caused by weak fault features and strong environmental noise in low-speed, a low-speed bearing fault diagnosis method based on wavelet threshold denoising and spectral amplitude modulation is proposed
Feature Extraction for Low-Speed Bearing Fault - ProQuest The proposed method performed SAM on the denoised signal to enhance the fault impulses of low-speed bearings, thereby effectively extracting weak fault features from the complex low-speed industrial environment