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
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Research on Feature Extraction Method for Low-Speed Reciprocating . . . Aiming at the problem of early fault diagnosis of low-speed reciprocating bearings, this paper uses wind turbine pitch bearings as simulation objects to conduct experimental research from three angles and proposes a bispectral slice overall average feature extraction method of modulated signals