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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...

詳細記述

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書誌詳細
出版年:Entropy (Basel)
主要な著者: Ye, Maoyou, Yan, Xiaoan, Jia, Minping
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2021
主題:
オンライン・アクセス: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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