Cargando…
Exploring Research on the Construction and Application of Knowledge Graphs for Aircraft Fault Diagnosis
Fault diagnosis is crucial for repairing aircraft and ensuring their proper functioning. However, with the higher complexity of aircraft, some traditional diagnosis methods that rely on experience are becoming less effective. Therefore, this paper explores the construction and application of an airc...
Autores principales: | Tang, Xilang, Chi, Guo, Cui, Lijie, Ip, Andrew W. H., Yung, Kai Leung, Xie, Xiaoyue |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256025/ https://www.ncbi.nlm.nih.gov/pubmed/37300022 http://dx.doi.org/10.3390/s23115295 |
Ejemplares similares
-
Bearing Fault Diagnosis Method Based on Convolutional Neural Network and Knowledge Graph
por: Li, Zhibo, et al.
Publicado: (2022) -
Fault Diagnosis for the Heat Exchanger of the Aircraft Environmental Control System Based on the Strong Tracking Filter
por: Ma, Jian, et al.
Publicado: (2015) -
An Improved DDPG and Its Application in Spacecraft Fault Knowledge Graph
por: Xing, Xiaoyu, et al.
Publicado: (2023) -
A Tutorial on Hardware-Implemented Fault Injection and Online Fault Diagnosis for High-Speed Trains
por: Yang, Xiaoyue, et al.
Publicado: (2021) -
Fault Detection of Aircraft System with Random Forest Algorithm and Similarity Measure
por: Lee, Sanghyuk, et al.
Publicado: (2014)