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

doi:10.1109/ICMSP55950.2022.9859019

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Title of host publication	2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	915-922
Number of pages	8
ISBN (Electronic)	9781665486583
DOIs	https://doi.org/10.1109/ICMSP55950.2022.9859019
State	Published - 2022
Externally published	Yes
Event	4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022 - Hangzhou, China Duration: 8 Jul 2022 → 10 Jul 2022

Publication series

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

Conference

Conference	4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022
Country/Territory	China
City	Hangzhou
Period	8/07/22 → 10/07/22

Keywords

fault diagnosis
fault identification
fly-by-wire control system
neural network
residual sequence

Access to Document

10.1109/ICMSP55950.2022.9859019

Cite this

Qian, Z., Liang, Y., Ma, C., Zhao, Z., Yao, A., & Qu, J. (2022). Fault Identification and Diagnosis of Fly-by-wire Control System Based on Intelligent Learning. In 2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022 (pp. 915-922). (2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMSP55950.2022.9859019

Qian, Zhen ; Liang, Yan ; Ma, Cunbao et al. / Fault Identification and Diagnosis of Fly-by-wire Control System Based on Intelligent Learning. 2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 915-922 (2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022).

@inproceedings{e86f4efd79e54b8c95e8fe338d36c6f4,

title = "Fault Identification and Diagnosis of Fly-by-wire Control System Based on Intelligent Learning",

abstract = "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.",

keywords = "fault diagnosis, fault identification, fly-by-wire control system, neural network, residual sequence",

author = "Zhen Qian and Yan Liang and Cunbao Ma and Zhenyao Zhao and Aihua Yao and Jing Qu",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022 ; Conference date: 08-07-2022 Through 10-07-2022",

year = "2022",

doi = "10.1109/ICMSP55950.2022.9859019",

language = "英语",

series = "2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "915--922",

booktitle = "2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022",

}

Qian, Z, Liang, Y, Ma, C, Zhao, Z, Yao, A & Qu, J 2022, Fault Identification and Diagnosis of Fly-by-wire Control System Based on Intelligent Learning. in 2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022. 2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022, Institute of Electrical and Electronics Engineers Inc., pp. 915-922, 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022, Hangzhou, China, 8/07/22. https://doi.org/10.1109/ICMSP55950.2022.9859019

Fault Identification and Diagnosis of Fly-by-wire Control System Based on Intelligent Learning. / Qian, Zhen; Liang, Yan; Ma, Cunbao et al.
2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 915-922 (2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fault Identification and Diagnosis of Fly-by-wire Control System Based on Intelligent Learning

AU - Qian, Zhen

AU - Liang, Yan

AU - Ma, Cunbao

AU - Zhao, Zhenyao

AU - Yao, Aihua

AU - Qu, Jing

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - fault diagnosis

KW - fault identification

KW - fly-by-wire control system

KW - neural network

KW - residual sequence

UR - http://www.scopus.com/inward/record.url?scp=85138068392&partnerID=8YFLogxK

U2 - 10.1109/ICMSP55950.2022.9859019

DO - 10.1109/ICMSP55950.2022.9859019

M3 - 会议稿件

AN - SCOPUS:85138068392

T3 - 2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022

SP - 915

EP - 922

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022

Y2 - 8 July 2022 through 10 July 2022

ER -

Qian Z, Liang Y, Ma C, Zhao Z, Yao A, Qu J. Fault Identification and Diagnosis of Fly-by-wire Control System Based on Intelligent Learning. In 2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 915-922. (2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022). doi: 10.1109/ICMSP55950.2022.9859019

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this