A compound fault diagnosis method of rolling bearing based on wavelet scattering transform and improved soft threshold denoising algorithm

Jianchun Guo; Zetian Si; Jiawei Xiang

doi:10.1016/j.measurement.2022.111276

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A compound fault diagnosis method of rolling bearing based on wavelet scattering transform and improved soft threshold denoising algorithm

Jianchun Guo Zetian Si Jiawei Xiang

Year: 2022 Journal: Measurement Vol: 196 Pages: 111276-111276 Publisher: Elsevier BV

DOI: 10.1016/j.measurement.2022.111276

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Keywords:

Noise reduction Fault (geology) Bearing (navigation) Wavelet SIGNAL (programming language) Vibration Wavelet transform Envelope (radar) Algorithm Engineering Pattern recognition (psychology) Artificial intelligence Computer science Acoustics Telecommunications Physics

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Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Advanced machining processes and optimization

Physical Sciences → Engineering → Mechanical Engineering

Gear and Bearing Dynamics Analysis

Physical Sciences → Engineering → Mechanical Engineering

A compound fault diagnosis method of rolling bearing based on wavelet scattering transform and improved soft threshold denoising algorithm

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