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Yin et al., 2022 - Google Patents

Weak fault feature extraction of rolling bearings based on improved ensemble noise-reconstructed EMD and adaptive threshold denoising

Yin et al., 2022

Document ID
2381657476753385588
Author
Yin C
Wang Y
Ma G
Wang Y
Sun Y
He Y
Publication year
Publication venue
Mechanical Systems and Signal Processing

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Snippet

Extracting weak fault features under noise interference is crucial for the fault diagnosis of rolling bearings at an early stage. In this paper, a new method based on improved ensemble noise-reconstructed empirical mode decomposition (IENEMD) and adaptive threshold …
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