A SVM- based multiple faults classification scheme design in flight control FDI system

Wei Yin; Wei Guo Zhang; Xun Sun

doi:10.1109/ICICIC.2007.100

A SVM- based multiple faults classification scheme design in flight control FDI system

Wei Yin
, Wei Guo Zhang
, Xun Sun

School of Automation

Northwestern Polytechnical University Xian

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

2 Scopus citations

Abstract

This paper discusses the application of the Support Vector Machine (SVM) algorithms to the flight control fault diagnosis and isolation (FDI) system and the scheme of identifying multiple flight control system faults. Flight control system faults are established for recognizing, and the way to extract the failure data from the usual faults is presented. Based on multi-class LS-SVM, a flight control system FDI synthesis method classified these fault data for reconfiguring control system efficiently. Multi-class LS-SVM use a set of quadratic error enterions with equality constraints. Through discussing some of the differences between varieties of kernel functions, we give a solution which needs to be studied further by using fuzzy system.

Original language	English
Title of host publication	Second International Conference on Innovative Computing, Information and Control, ICICIC 2007
Publisher	IEEE Computer Society
ISBN (Print)	0769528821, 9780769528823
DOIs	https://doi.org/10.1109/ICICIC.2007.100
State	Published - 2007
Event	2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 - Kumamoto, Japan Duration: 5 Sep 2007 → 7 Sep 2007

Publication series

Name	Second International Conference on Innovative Computing, Information and Control, ICICIC 2007

Conference

Conference	2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
Country/Territory	Japan
City	Kumamoto
Period	5/09/07 → 7/09/07

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10.1109/ICICIC.2007.100

Cite this

Yin, W., Zhang, W. G., & Sun, X. (2007). A SVM- based multiple faults classification scheme design in flight control FDI system. In Second International Conference on Innovative Computing, Information and Control, ICICIC 2007 Article 4427832 (Second International Conference on Innovative Computing, Information and Control, ICICIC 2007). IEEE Computer Society. https://doi.org/10.1109/ICICIC.2007.100

@inproceedings{c262e735b659401f903f210ad9ef52fc,

title = "A SVM- based multiple faults classification scheme design in flight control FDI system",

abstract = "This paper discusses the application of the Support Vector Machine (SVM) algorithms to the flight control fault diagnosis and isolation (FDI) system and the scheme of identifying multiple flight control system faults. Flight control system faults are established for recognizing, and the way to extract the failure data from the usual faults is presented. Based on multi-class LS-SVM, a flight control system FDI synthesis method classified these fault data for reconfiguring control system efficiently. Multi-class LS-SVM use a set of quadratic error enterions with equality constraints. Through discussing some of the differences between varieties of kernel functions, we give a solution which needs to be studied further by using fuzzy system.",

author = "Wei Yin and Zhang, \{Wei Guo\} and Xun Sun",

year = "2007",

doi = "10.1109/ICICIC.2007.100",

language = "英语",

isbn = "0769528821",

series = "Second International Conference on Innovative Computing, Information and Control, ICICIC 2007",

publisher = "IEEE Computer Society",

booktitle = "Second International Conference on Innovative Computing, Information and Control, ICICIC 2007",

note = "2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 ; Conference date: 05-09-2007 Through 07-09-2007",

}

Yin, W, Zhang, WG & Sun, X 2007, A SVM- based multiple faults classification scheme design in flight control FDI system. in Second International Conference on Innovative Computing, Information and Control, ICICIC 2007., 4427832, Second International Conference on Innovative Computing, Information and Control, ICICIC 2007, IEEE Computer Society, 2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007, Kumamoto, Japan, 5/09/07. https://doi.org/10.1109/ICICIC.2007.100

A SVM- based multiple faults classification scheme design in flight control FDI system. / Yin, Wei; Zhang, Wei Guo; Sun, Xun.
Second International Conference on Innovative Computing, Information and Control, ICICIC 2007. IEEE Computer Society, 2007. 4427832 (Second International Conference on Innovative Computing, Information and Control, ICICIC 2007).

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

TY - GEN

T1 - A SVM- based multiple faults classification scheme design in flight control FDI system

AU - Yin, Wei

AU - Zhang, Wei Guo

AU - Sun, Xun

PY - 2007

Y1 - 2007

N2 - This paper discusses the application of the Support Vector Machine (SVM) algorithms to the flight control fault diagnosis and isolation (FDI) system and the scheme of identifying multiple flight control system faults. Flight control system faults are established for recognizing, and the way to extract the failure data from the usual faults is presented. Based on multi-class LS-SVM, a flight control system FDI synthesis method classified these fault data for reconfiguring control system efficiently. Multi-class LS-SVM use a set of quadratic error enterions with equality constraints. Through discussing some of the differences between varieties of kernel functions, we give a solution which needs to be studied further by using fuzzy system.

AB - This paper discusses the application of the Support Vector Machine (SVM) algorithms to the flight control fault diagnosis and isolation (FDI) system and the scheme of identifying multiple flight control system faults. Flight control system faults are established for recognizing, and the way to extract the failure data from the usual faults is presented. Based on multi-class LS-SVM, a flight control system FDI synthesis method classified these fault data for reconfiguring control system efficiently. Multi-class LS-SVM use a set of quadratic error enterions with equality constraints. Through discussing some of the differences between varieties of kernel functions, we give a solution which needs to be studied further by using fuzzy system.

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U2 - 10.1109/ICICIC.2007.100

DO - 10.1109/ICICIC.2007.100

M3 - 会议稿件

AN - SCOPUS:39049145808

SN - 0769528821

SN - 9780769528823

T3 - Second International Conference on Innovative Computing, Information and Control, ICICIC 2007

BT - Second International Conference on Innovative Computing, Information and Control, ICICIC 2007

PB - IEEE Computer Society

T2 - 2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007

Y2 - 5 September 2007 through 7 September 2007

ER -

Yin W, Zhang WG, Sun X. A SVM- based multiple faults classification scheme design in flight control FDI system. In Second International Conference on Innovative Computing, Information and Control, ICICIC 2007. IEEE Computer Society. 2007. 4427832. (Second International Conference on Innovative Computing, Information and Control, ICICIC 2007). doi: 10.1109/ICICIC.2007.100

A SVM- based multiple faults classification scheme design in flight control FDI system

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