@inproceedings{9a64bdbc14f247b2bd371d77cacaea20,
title = "Fault Diagnosis for Attitude Sensors Based on Analytical Redundancy and Wavelet Transform",
abstract = "This paper presents a sensor fault diagnosis method for the satellite attitude determination system based on analytical redundancy and wavelet transform. Specifically, we design a full-order observer to achieve fault detection. After the fault is detected, wavelet transform is used to isolate the fault sensors. Moreover, the gyroscope faults are estimated by using the algebraic observability. The proposed fault diagnosis approach combines the analytical redundancy-based method and the signal processing technique, its major benefit is that the computational burden is effectively reduced by introducing the fault detection method based on the analytical redundancy. Simulation results illustrate the effectiveness of the proposed method.",
keywords = "analytical redundancy, attitude determination, fault diagnosis, sensor, wavelet transform",
author = "Weixin Liu and Shengwen Li and Minhua Chen and Yuan Fang and Li Cha and Zhenhua Wang",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Chinese Automation Congress, CAC 2020 ; Conference date: 06-11-2020 Through 08-11-2020",
year = "2020",
month = nov,
day = "6",
doi = "10.1109/CAC51589.2020.9327370",
language = "英语",
series = "Proceedings - 2020 Chinese Automation Congress, CAC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6471--6476",
booktitle = "Proceedings - 2020 Chinese Automation Congress, CAC 2020",
address = "美国",
}