A comparison of a neural network and an observer approach for detecting faults in a benchmark system

D. N. Shields; Stephanie Du Four; Elena Gaura

doi:10.1007/978-3-7091-6230-9_38

A comparison of a neural network and an observer approach for detecting faults in a benchmark system

D. N. Shields, Stephanie Du Four, Elena Gaura

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

Abstract

The detection of faults is considered for a class of nonlinear systems. A fault detection observer approach is compared to a neural network approach. Both approaches axe applied to a an experimental ( benchmark) three-tank system.

Original language	English
Title of host publication	Artificial Neural Nets and Genetic Algorithms
Subtitle of host publication	Proceedings of the International Conference in Prague, Czech Republic, 2001
Editors	Vera Kurkova, Nigel C. Steele, Roman Neruda, Miroslav Karny
Place of Publication	New York
Publisher	Springer, Springer Nature
Pages	157-160
Number of pages	4
ISBN (Electronic)	9783709162309
ISBN (Print)	3211836519, 9783211836514
DOIs	https://doi.org/10.1007/978-3-7091-6230-9_38
Publication status	Published - 2001
Externally published	Yes
Event	International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA) - Prague, Czech Republic Duration: 22 Apr 2001 → 25 Apr 2001

Publication series

Name	Springer Computer Science
Publisher	Springer-Verlag Wien

Conference

Conference	International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA)
Country/Territory	Czech Republic
City	Prague
Period	22/04/01 → 25/04/01

Keywords

NONLINEAR-SYSTEMS

Access to Document

10.1007/978-3-7091-6230-9_38

Cite this

Shields, D. N., Du Four, S., & Gaura, E. (2001). A comparison of a neural network and an observer approach for detecting faults in a benchmark system. In V. Kurkova, N. C. Steele, R. Neruda, & M. Karny (Eds.), Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Prague, Czech Republic, 2001 (pp. 157-160). (Springer Computer Science). Springer, Springer Nature. https://doi.org/10.1007/978-3-7091-6230-9_38

Shields, D. N. ; Du Four, Stephanie ; Gaura, Elena. / A comparison of a neural network and an observer approach for detecting faults in a benchmark system. Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Prague, Czech Republic, 2001. editor / Vera Kurkova ; Nigel C. Steele ; Roman Neruda ; Miroslav Karny. New York : Springer, Springer Nature, 2001. pp. 157-160 (Springer Computer Science).

@inproceedings{221ad37041bc42168e1af78fe59ad4b2,

title = "A comparison of a neural network and an observer approach for detecting faults in a benchmark system",

abstract = "The detection of faults is considered for a class of nonlinear systems. A fault detection observer approach is compared to a neural network approach. Both approaches axe applied to a an experimental ( benchmark) three-tank system.",

keywords = "NONLINEAR-SYSTEMS",

author = "Shields, {D. N.} and {Du Four}, Stephanie and Elena Gaura",

year = "2001",

doi = "10.1007/978-3-7091-6230-9_38",

language = "English",

isbn = "3211836519",

series = "Springer Computer Science",

publisher = "Springer, Springer Nature",

pages = "157--160",

editor = "Vera Kurkova and Steele, {Nigel C.} and Roman Neruda and Miroslav Karny",

booktitle = "Artificial Neural Nets and Genetic Algorithms",

address = "United States",

note = "International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA) ; Conference date: 22-04-2001 Through 25-04-2001",

}

Shields, DN, Du Four, S & Gaura, E 2001, A comparison of a neural network and an observer approach for detecting faults in a benchmark system. in V Kurkova, NC Steele, R Neruda & M Karny (eds), Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Prague, Czech Republic, 2001. Springer Computer Science, Springer, Springer Nature, New York, pp. 157-160, International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA), Prague, Czech Republic, 22/04/01. https://doi.org/10.1007/978-3-7091-6230-9_38

A comparison of a neural network and an observer approach for detecting faults in a benchmark system. / Shields, D. N.; Du Four, Stephanie; Gaura, Elena.

Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Prague, Czech Republic, 2001. ed. / Vera Kurkova; Nigel C. Steele; Roman Neruda; Miroslav Karny. New York : Springer, Springer Nature, 2001. p. 157-160 (Springer Computer Science).

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

TY - GEN

T1 - A comparison of a neural network and an observer approach for detecting faults in a benchmark system

AU - Shields, D. N.

AU - Du Four, Stephanie

AU - Gaura, Elena

PY - 2001

Y1 - 2001

N2 - The detection of faults is considered for a class of nonlinear systems. A fault detection observer approach is compared to a neural network approach. Both approaches axe applied to a an experimental ( benchmark) three-tank system.

AB - The detection of faults is considered for a class of nonlinear systems. A fault detection observer approach is compared to a neural network approach. Both approaches axe applied to a an experimental ( benchmark) three-tank system.

KW - NONLINEAR-SYSTEMS

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DO - 10.1007/978-3-7091-6230-9_38

M3 - Conference proceeding contribution

SN - 3211836519

SN - 9783211836514

T3 - Springer Computer Science

SP - 157

EP - 160

BT - Artificial Neural Nets and Genetic Algorithms

A2 - Kurkova, Vera

A2 - Steele, Nigel C.

A2 - Neruda, Roman

A2 - Karny, Miroslav

PB - Springer, Springer Nature

CY - New York

T2 - International Conference on Artificial Neural Networks and Genetic Algorithms (ICANNGA)

Y2 - 22 April 2001 through 25 April 2001

ER -

Shields DN, Du Four S, Gaura E. A comparison of a neural network and an observer approach for detecting faults in a benchmark system. In Kurkova V, Steele NC, Neruda R, Karny M, editors, Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Prague, Czech Republic, 2001. New York: Springer, Springer Nature. 2001. p. 157-160. (Springer Computer Science). https://doi.org/10.1007/978-3-7091-6230-9_38

A comparison of a neural network and an observer approach for detecting faults in a benchmark system

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