A Preliminary Study on the Application of Knowledge Graph on Aero Engine Health Management (EHM)
Qian Liu, Cao Ming, Yao Zhengyang, Fang Wei · 2022 Global Reliability and Prognostics and Health Management (PHM-Yantai) · 2022
Aero-engine prognostics and health management technology are the main methods to address the operation and maintenance of complex equipment system as an aero-engine. With the development of control system and sensor technology, the monitoring data grows in huge and presents typical characteristics such as high speed, multi-source and heterogeneous, etc. The intelligent and effective analysis of the huge data is the key to health management, and knowledge graph is one of the key technologies to solve the problem that a large amount of unstructured data is not fully applied. This paper summarizes the necessity and research status of knowledge graph in aero-engine health management, and makes a preliminary exploration and outlook on the application of knowledge graph in the field of aeroengine health management.