1. School of Astronautics, Beihang University, Beijing 100191, China; 2. Xi'an Satellites Measure&Control Center of China, Xi'an 710043, China; 3. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Abstract：A fault diagnosis method based on a kernel extreme learning machine (KELM) was developed to analyze thruster failures in hypersonic aircraft reaction control systems (RCS). The parameters and kernel function were optimized for faults involving aircraft actuator failures. Results using this fast, accurate diagnostic method show that the method is not dependent on the aircraft model and provides fast and accurate diagnoses of aircraft actuator faults using a data-driven process.
宋佳, 石若凌, 郭小红, 刘杨. 基于核极限学习机的飞行器故障诊断方法[J]. 清华大学学报（自然科学版）, 2020, 60(10): 795-803.
SONG Jia, SHI Ruoling, GUO Xiaohong, LIU Yang. KELM based diagnostics for air vehicle faults. Journal of Tsinghua University(Science and Technology), 2020, 60(10): 795-803.
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2020, Vol. 60 
