A High-Dimensional and Small-Sample Submersible Fault Detection Method Based on Feature Selection and Data Augmentation

The fault detection of manned submersibles plays a very important role in protecting the safety of submersible equipment and personnel. However, the diving sensor data is scarce and high-dimensional, so this paper proposes a submersible fault detection method, which is made up of feature selection m...

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Detalles Bibliográficos
Autores principales: Zhao, Penghui, Zheng, Qinghe, Ding, Zhongjun, Zhang, Yi, Wang, Hongjun, Yang, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749798/
https://www.ncbi.nlm.nih.gov/pubmed/35009748
http://dx.doi.org/10.3390/s22010204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749798/
https://www.ncbi.nlm.nih.gov/pubmed/35009748
http://dx.doi.org/10.3390/s22010204

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