Sensor Fault Diagnosis Method Based on α-Grey Wolf Optimization-Support Vector Machine

Aimed to address the low diagnostic accuracy caused by the similar data distribution of sensor partial faults, a sensor fault diagnosis method is proposed on the basis of α Grey Wolf Optimization Support Vector Machine (α-GWO-SVM) in this paper. Firstly, a fusion with Kernel Principal Component Anal...

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Detalles Bibliográficos
Autores principales: Cheng, Xuezhen, Wang, Dafei, Xu, Chuannuo, Li, Jiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8448603/
https://www.ncbi.nlm.nih.gov/pubmed/34539769
http://dx.doi.org/10.1155/2021/1956394

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8448603/
https://www.ncbi.nlm.nih.gov/pubmed/34539769
http://dx.doi.org/10.1155/2021/1956394

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