Rolling bearing fault diagnosis based on improved adaptive parameterless empirical wavelet transform and sparse denoising

Jimeng Li; Hui Wang; Xiangdong Wang; Yungang Zhang

doi:10.1016/j.measurement.2019.107392

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Rolling bearing fault diagnosis based on improved adaptive parameterless empirical wavelet transform and sparse denoising

Jimeng Li Hui Wang Xiangdong Wang Yungang Zhang

Year: 2019 Journal: Measurement Vol: 152 Pages: 107392-107392 Publisher: Elsevier BV

DOI: 10.1016/j.measurement.2019.107392

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Keywords:

Hilbert–Huang transform Noise reduction Impulse (physics) Fault (geology) Bearing (navigation) Pattern recognition (psychology) Computer science Artificial intelligence Wavelet Adaptive filter Finite impulse response Filter (signal processing) Algorithm Engineering Computer vision

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Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Gear and Bearing Dynamics Analysis

Physical Sciences → Engineering → Mechanical Engineering

Advanced machining processes and optimization

Physical Sciences → Engineering → Mechanical Engineering

Rolling bearing fault diagnosis based on improved adaptive parameterless empirical wavelet transform and sparse denoising

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