A New Hydrogen Sensor Fault Diagnosis Method Based on Transfer Learning With LeNet-5

The fault safety monitoring of hydrogen sensors is very important for their practical application. The precondition of traditional machine learning methods for sensor fault diagnosis is that enough fault data with the same distribution and feature space under the same working environment must exist....

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Detalles Bibliográficos
Autores principales: Sun, Yongyi, Liu, Shuxia, Zhao, Tingting, Zou, Zhihui, Shen, Bin, Yu, Ying, Zhang, Shuang, Zhang, Hongquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175791/
https://www.ncbi.nlm.nih.gov/pubmed/34093159
http://dx.doi.org/10.3389/fnbot.2021.664135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175791/
https://www.ncbi.nlm.nih.gov/pubmed/34093159
http://dx.doi.org/10.3389/fnbot.2021.664135

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