Fault Identification and Diagnosis of Fly-by-wire Control System Based on Intelligent Learning

Zhen Qian, Yan Liang, Cunbao Ma, Zhenyao Zhao, Aihua Yao, Jing Qu

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

This paper analyzes the residual sequence between the output of the fitting model and the real flight parameter data, extracts time-domain eigenvalues that can represent the characteristics of the residual sequence through the fault injection method, reduces the dimension and makes mathematical statistics of time-domain eigenvalues of the residual sequence by using Principal Component Analysis, realizes the fault identification of aircraft fly-by-wire control system, and finally classifies time-domain eigenvalues of the aircraft residual sequence by using Extreme Learning Machine, realize the fault diagnosis of aircraft fly-by-wire control system.

源语言英语
主期刊名2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022
出版商Institute of Electrical and Electronics Engineers Inc.
915-922
页数8
ISBN(电子版)9781665486583
DOI
出版状态已出版 - 2022
已对外发布
活动4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022 - Hangzhou, 中国
期限: 8 7月 202210 7月 2022

出版系列

姓名2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022

会议

会议4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022
国家/地区中国
Hangzhou
时期8/07/2210/07/22

指纹

探究 'Fault Identification and Diagnosis of Fly-by-wire Control System Based on Intelligent Learning' 的科研主题。它们共同构成独一无二的指纹。

引用此