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Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM
The goal of the paper is to present a solution to improve the fault detection accuracy of rolling bearings. The method is based on variational mode decomposition (VMD), multiscale permutation entropy (MPE) and the particle swarm optimization-based support vector machine (PSO-SVM). Firstly, the origi...
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| Published in: | Entropy (Basel) |
|---|---|
| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
MDPI
2021
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8233737/ https://ncbi.nlm.nih.gov/pubmed/34208777 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23060762 |
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