@inproceedings{321d95b0f8f84e4a811bd431be91a05c,
title = "Cyber-physical Fusion based State Assessment and Fault Diagnosis for UAV Flight Control System",
abstract = "With the rapid development of aviation UAV equipment, the safety and reliability of flight control systems have become particularly critical. Traditional evaluation methods rely on manual experience, which is inefficient and has limited accuracy. This study uses cyber-physics fusion technology to establish an accurate cyber-physics fusion model to describe the flight control system of the UAV, realize real-time state evaluation and fault prediction of the flight control system, and significantly improve the efficiency and accuracy of the safety evaluation of the flight control system. The study verifies the application effect of cyber-physical fusion technology in civil aviation flight control systems and confirms that it can significantly improve maintenance efficiency and flight safety.",
keywords = "cyber-physics fusion, fault diagnosis, flight Control System, state assessment",
author = "Yan Kang and Yangming Guo and Simeng Ding and Qiqi Ma and Bo Ma",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 16th IEEE Reliability and Prognostics and Health Management Conference, PHM-Xian 2025 ; Conference date: 10-10-2025 Through 12-10-2025",
year = "2025",
doi = "10.1109/PHM-Xian66756.2025.11427610",
language = "英语",
series = "2025 Global Reliability and Prognostics and Health Management Conference, PHM-Xian 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Huimin Wang and Steven Li",
booktitle = "2025 Global Reliability and Prognostics and Health Management Conference, PHM-Xian 2025",
}