Feature Extraction for Low-Speed Bearing Fault Diagnosis Based on Spectral Amplitude Modulation and Wavelet Threshold Denoising

Feature Extraction for Low-Speed Bearing Fault Diagnosis Based on Spectral Amplitude Modulation and Wavelet Threshold Denoising

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. The proposed method effecti...

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Bibliographic Details
Main Authors: Xiaojia Zu, Wenhao Sun, Yuncheng Guo, Yukai Zhao, Haihong Tang, Xue Jiang, Peng Chen
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
low-speed bearing
fault diagnosis
spectral amplitude modulation
wavelet threshold denoising
feature extraction
Online Access:https://www.mdpi.com/1424-8220/25/12/3782
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