Transfer Learning Based Fault Diagnosis with Missing Data Due to Multi-Rate Sampling

Deep learning is an effective feature extraction method widely applied in fault diagnosis fields since it can extract fault features potentially involved in multi-sensor data. But different sensors equipped in the system may sample data at different sampling rates, which will inevitably result in a...

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Detalles Bibliográficos
Autores principales: Chen, Danmin, Yang, Shuai, Zhou, Funa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514833/
https://www.ncbi.nlm.nih.gov/pubmed/30999589
http://dx.doi.org/10.3390/s19081826

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6514833/
https://www.ncbi.nlm.nih.gov/pubmed/30999589
http://dx.doi.org/10.3390/s19081826

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