文献类型：期刊文献

英文题名：A Novel Likelihood Gradient-Based Incipient Fault Detection Approach for Avionics Systems

作者：Sun, Wenxin[1];Li, Zhongmei[2,3];Wang, Bing[1];Wang, Jialiang[1];Chen, Hongtian[1];Jiang, Bin[4]

机构：[1]Shanghai Jiao Tong Univ, Sch Automat & Intelligent Sensing, State Key Lab Submarine Geosci, Shanghai 200240, Peoples R China;[2]East China Univ Sci & Technol, State Key Lab Ind Control Technol, Minist Educ, Shanghai 200237, Peoples R China;[3]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[4]Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 211106, Peoples R China

年份：2026

卷号：23

起止页码：7880

外文期刊名：IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

收录：;EI(收录号：20261120283005);WOS:【SCI-EXPANDED(收录号:WOS:001743158400014)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 62303308, in part by the Open Research Project of the State Key Laboratory of Industrial Control Technology under Grant ICT2024B15, in part by the Joint Research Fund of Shanghai Academy of Spaceflight Technology under Grant USCAST2023-22, in part by the Open Research Project of the Key Laboratory of Smart Manufacturing in Energy Chemical Process under Grant 2025SMECP011, and in part by the Open Fund of Intelligent Control Laboratory under Grant 2024-ZKSYS-KF03-01.

语种：英文

外文关键词：Aerospace electronics; Aircraft; Fault detection; Aerospace control; Monitoring; Mathematical models; Atmospheric modeling; Actuators; Pitch control (position); Data models; Pitch control systems; fault detection; likelihood gradient; incipient faults

摘要：This paper presents a gradient-based fault detection method for pitch control systems in avionics. On the basis of the dynamic model of the airplane, the proposed method detects both operator and sensor faults by monitoring the online data. By integrating fault-related behaviors over an extended time window, the method effectively amplifies small changes caused by incipient faults, improving detectability. Theoretical analysis reveals that under normal flight conditions, the gradient has a zero expected value and a finite, analytically tractable variance. These characteristics make the method compatible with traditional fault detection approaches. Sufficient tests on real flight data verify its ability to detect hard-to-identify faults.