Inicio
Explorar
nav.journalClub
Tendencias
Más
synapse
⌘+K
Idioma
Español
Español
An intelligent fault diagnosis approach for construction machinery hydraulic systems based on knowledge graph | Synapse
March 3, 2026
An intelligent fault diagnosis approach for construction machinery hydraulic systems based on knowledge graph
YX
Yi Xu
Chongqing University of Posts and Telecommunications
PT
Peng Tz
Zhejiang University
RZ
Ray Y. Zhong
University of Hong Kong
Ver todo
Puntos clave
Fault diagnosis improves efficiency in hydraulic systems, allowing for faster maintenance responses.
Key evidence shows a 30% reduction in downtime when utilizing a knowledge graph approach for faults.
Analysis uses a knowledge graph to map failures and treatments effectively in hydraulic systems.
This method highlights the need for advanced intelligent systems in construction machinery for better reliability.
Mark Helpful
Me gusta
Save
Guardar
Relay
Compartir
Mark Helpful
Me gusta
Save
Guardar
Relay
Compartir
Cite This Study
Copy
Xu et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75dfdc6e9836116a2850e
https://doi.org/https://doi.org/10.1016/j.aei.2026.104360