Fault Critical Point Prediction Method of Nuclear Gate Valve with Small Samples Based on Characteristic Analysis of Operation

The number of fault samples for the new nuclear valve is commonly rare; thus, the machine learning algorithm is not suitable for the fault prediction of this kind of equipment. In order to overcome this difficulty, this paper proposes a novel method for the fault critical point prediction of the gat...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Zhilong, Liu, Jie, Huang, Yanping, Li, Tongxi, Nie, Changhua, Xia, Yanjun, Zhan, Li, Tang, Zhangchun, Zhang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8836964/
https://www.ncbi.nlm.nih.gov/pubmed/35160702
http://dx.doi.org/10.3390/ma15030757

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8836964/
https://www.ncbi.nlm.nih.gov/pubmed/35160702
http://dx.doi.org/10.3390/ma15030757

Ejemplares similares