A Fault Diagnosis Method of Four-Mass Vibration MEMS Gyroscope Based on ResNeXt-50 with Attention Mechanism and Improved EWT Algorithm

In this paper, a fault identification algorithm combining a signal processing algorithm and machine learning algorithm is proposed, using a four-mass vibration MEMS gyroscope (FMVMG) for signal acquisition work, constructing a gyroscope fault dataset, and performing the model training task based on...

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Detalles Bibliográficos
Autores principales: Gu, Yikuan, Wang, Yan, Li, Zhong, Zhang, Tiantian, Li, Yuanhao, Wang, Guodong, Cao, Huiliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384927/
https://www.ncbi.nlm.nih.gov/pubmed/37512598
http://dx.doi.org/10.3390/mi14071287

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384927/
https://www.ncbi.nlm.nih.gov/pubmed/37512598
http://dx.doi.org/10.3390/mi14071287

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