TY - GEN
T1 - Requirements Analysis and Key Technologies of High-Performance Unmanned Aerial Vehicle Health Management System
AU - Fan, Zeng
AU - Fang, Guancheng
AU - Jia, Dapeng
AU - Jiang, Tao
AU - Ren, Yi
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The increasing complexity, integration, and intelligence of high-performance unmanned aerial vehicle (UAV) systems make it increasing important of integrated design for indicators such as reliability, supportability, safety, and economy crucial. Fault diagnosis, prediction, and health management technologies can enhance the reliability of UAV critical components and systems, and reduce lifecycle maintenance costs. These technologies are essential for the development of UAV technology. This study, starting from the operational requirements of highperformance UAVs, proposes a health management system architecture tailored to the characteristics of highperformance UAVs. It analyzes the technical roadmap of key technologies such as fault diagnosis based on associative reasoning, mission-oriented health assessment and decision support.
AB - The increasing complexity, integration, and intelligence of high-performance unmanned aerial vehicle (UAV) systems make it increasing important of integrated design for indicators such as reliability, supportability, safety, and economy crucial. Fault diagnosis, prediction, and health management technologies can enhance the reliability of UAV critical components and systems, and reduce lifecycle maintenance costs. These technologies are essential for the development of UAV technology. This study, starting from the operational requirements of highperformance UAVs, proposes a health management system architecture tailored to the characteristics of highperformance UAVs. It analyzes the technical roadmap of key technologies such as fault diagnosis based on associative reasoning, mission-oriented health assessment and decision support.
KW - Comprehensive Support
KW - Fault Diagnosis
KW - Health Assessment
KW - Health Management
KW - Unmanned Aerial Vehicle
UR - https://www.scopus.com/pages/publications/105030345428
U2 - 10.1109/ICRMS63553.2024.00104
DO - 10.1109/ICRMS63553.2024.00104
M3 - 会议稿件
AN - SCOPUS:105030345428
T3 - Proceedings - 2024 15th International Conference on Reliability, Maintenance and Safety, ICRMS 2024
SP - 630
EP - 637
BT - Proceedings - 2024 15th International Conference on Reliability, Maintenance and Safety, ICRMS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Conference on Reliability, Maintenance and Safety, ICRMS 2024
Y2 - 31 July 2024 through 2 August 2024
ER -