Fault diagnosis for a class of linear discrete-time systems based on adaptive algorithm

Rui Kan; Jian Liang Wang

doi:10.1109/ICARCV.2008.4795666

Fault diagnosis for a class of linear discrete-time systems based on adaptive algorithm

Rui Kan^*
, Jian Liang Wang

^*Corresponding author for this work

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

Abstract

In this paper, for a class of discrete-time linear systems, a fault detection and diagnosis (FDD) method based on adaptive estimation is investigated, and its theoretical properties in detecting faults are established rigorously in the following cases: noise-free case, bounded noise case and l₂ noise case respectively.

Original language	English
Title of host publication	2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Publisher	IEEE Computer Society
Pages	1060-1065
Number of pages	6
ISBN (Print)	9781424422876
DOIs	https://doi.org/10.1109/ICARCV.2008.4795666
Publication status	Published - 2008
Externally published	Yes
Event	10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 - Hanoi, Viet Nam Duration: 17 Dec 2008 → 20 Dec 2008

Publication series

Name	2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Conference

Conference	10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Country/Territory	Viet Nam
City	Hanoi
Period	17/12/08 → 20/12/08

Free Keywords

Adaptive estimation
Discrete-time linear system
Fault detection and diagnosis (FDD)

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICARCV.2008.4795666

Cite this

Kan, R., & Wang, J. L. (2008). Fault diagnosis for a class of linear discrete-time systems based on adaptive algorithm. In 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 (pp. 1060-1065). Article 4795666 (2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008). IEEE Computer Society. https://doi.org/10.1109/ICARCV.2008.4795666

@inproceedings{d9d66fbd077c47b1bd40bfd79b226cfa,

title = "Fault diagnosis for a class of linear discrete-time systems based on adaptive algorithm",

abstract = "In this paper, for a class of discrete-time linear systems, a fault detection and diagnosis (FDD) method based on adaptive estimation is investigated, and its theoretical properties in detecting faults are established rigorously in the following cases: noise-free case, bounded noise case and l2 noise case respectively.",

keywords = "Adaptive estimation, Discrete-time linear system, Fault detection and diagnosis (FDD)",

author = "Rui Kan and Wang, \{Jian Liang\}",

year = "2008",

doi = "10.1109/ICARCV.2008.4795666",

language = "English",

isbn = "9781424422876",

series = "2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008",

publisher = "IEEE Computer Society",

pages = "1060--1065",

booktitle = "2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008",

address = "United States",

note = "10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 ; Conference date: 17-12-2008 Through 20-12-2008",

}

Kan, R & Wang, JL 2008, Fault diagnosis for a class of linear discrete-time systems based on adaptive algorithm. in 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008., 4795666, 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, IEEE Computer Society, pp. 1060-1065, 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, Hanoi, Viet Nam, 17/12/08. https://doi.org/10.1109/ICARCV.2008.4795666

Fault diagnosis for a class of linear discrete-time systems based on adaptive algorithm. / Kan, Rui; Wang, Jian Liang.
2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008. IEEE Computer Society, 2008. p. 1060-1065 4795666 (2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008).

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

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AU - Wang, Jian Liang

PY - 2008

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N2 - In this paper, for a class of discrete-time linear systems, a fault detection and diagnosis (FDD) method based on adaptive estimation is investigated, and its theoretical properties in detecting faults are established rigorously in the following cases: noise-free case, bounded noise case and l2 noise case respectively.

AB - In this paper, for a class of discrete-time linear systems, a fault detection and diagnosis (FDD) method based on adaptive estimation is investigated, and its theoretical properties in detecting faults are established rigorously in the following cases: noise-free case, bounded noise case and l2 noise case respectively.

KW - Adaptive estimation

KW - Discrete-time linear system

KW - Fault detection and diagnosis (FDD)

UR - https://www.scopus.com/pages/publications/64549103304

U2 - 10.1109/ICARCV.2008.4795666

DO - 10.1109/ICARCV.2008.4795666

M3 - Conference contribution

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SN - 9781424422876

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PB - IEEE Computer Society

T2 - 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Y2 - 17 December 2008 through 20 December 2008

ER -

Kan R, Wang JL. Fault diagnosis for a class of linear discrete-time systems based on adaptive algorithm. In 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008. IEEE Computer Society. 2008. p. 1060-1065. 4795666. (2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008). doi: 10.1109/ICARCV.2008.4795666

Fault diagnosis for a class of linear discrete-time systems based on adaptive algorithm

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Conference

Free Keywords

ASJC Scopus subject areas

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