Rolling Bearing Fault Diagnosis Based on Support Vector Machine Optimized by Improved Grey Wolf Algorithm

This study targets the low accuracy and efficiency of the support vector machine (SVM) algorithm in rolling bearing fault diagnosis. An improved grey wolf optimizer (IGWO) algorithm was proposed based on deep learning and a swarm intelligence optimization algorithm to optimize the structural paramet...

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Detalles Bibliográficos
Autores principales: Shen, Weijie, Xiao, Maohua, Wang, Zhenyu, Song, Xinmin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384382/
https://www.ncbi.nlm.nih.gov/pubmed/37514940
http://dx.doi.org/10.3390/s23146645

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384382/
https://www.ncbi.nlm.nih.gov/pubmed/37514940
http://dx.doi.org/10.3390/s23146645

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