文献类型：会议论文

英文题名：A Polynomial Projection-based Fault Detection for Aero-Engine Fuel Control Systems

作者：Chen, Xi[1];Wang, Jialiang[1];Li, Zhongmei[2];Sun, Wenxin[1];Wang, Bing[1];Chen, Hongtian[1]

机构：[1]Shanghai Jiao Tong Univ, Dept Automat, State Key Lab Submarine Geosci, Shanghai, Peoples R China;[2]East China Univ Sci & Technol, Shanghai, Peoples R China

会议论文集：8th International Conference on Robotics Control and Automation Engineering-RCAE

会议日期：OCT 24-26, 2025

会议地点：Xi'an, PEOPLES R CHINA

语种：英文

外文关键词：Fault detection; aero-engine; high-order polynomial projection operator; neural networks; residual generator

摘要：Recently, to ensure the stability and safety of aircraft, fault detection (FD) for aero-engine fuel control systems play an important role in flight. The faults in the aero-engine are difficult to detect when the flight altitude and speed are varied. To achieve detection of faults, this work develops a new FD method based on polynomial projection techniques. A high-order polynomial projection operator (HiPPO) is applied to project and reconstruct sensor data in order to obtain a data-based model. With the help of neural networks, a residual generator is constructed and the faults are detected precisely. The studies on a real aero-engine fuel control system are carried out to illustrate detection performance when faults occur.