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Fault Diagnosis for Rotating Machinery Using Multiscale Permutation Entropy and Convolutional Neural Networks
In view of the limitations of existing rotating machine fault diagnosis methods in single-scale signal analysis, a fault diagnosis method based on multi-scale permutation entropy (MPE) and multi-channel fusion convolutional neural networks (MCFCNN) is proposed. First, MPE quantitatively analyzes the...
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| Published in: | Entropy (Basel) |
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| Main Authors: | , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
MDPI
2020
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7517452/ https://ncbi.nlm.nih.gov/pubmed/33286622 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22080851 |
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