Diagnosis information in meta-rule adaptive fuzzy systems

Tapio Rauma

doi:10.1109/EURMIC.1997.617374

Diagnosis information in meta-rule adaptive fuzzy systems

Tapio Rauma

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

1 Citation (Scopus)

Abstract

Meta-rule based adaptation methods are presented and discussed from the viewpoint of using fault diagnosis information in adapting a control system. Using fault diagnosis information in the parameterization of controllers is presented as a way to improve the performance of controllers in cases where faults, damages or a changing environment affect the behavior of a process or a device.The meta-rule approach, which is commonly used in control systems, is extended to cover information produced by a fault diagnosis system.The background of the methods presented is knowledge engineering with fuzzy logic and other intelligent techniques.

Original language	English
Title of host publication	Proceedings of the 23rd EUROMICRO Conference
Subtitle of host publication	New frontiers of information technology
Place of Publication	Los Alamitos
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	564-569
ISBN (Print)	978-0-8186-8129-5
DOIs	https://doi.org/10.1109/EURMIC.1997.617374
Publication status	Published - 1997
MoE publication type	A4 Article in a conference publication
Event	23rd EUROMICRO Conference, EUROMICRO'97: New frontiers of information technology - Budapest, Hungary Duration: 1 Sept 1997 → 4 Sept 1997

Publication series

Series	EUROMICRO Conference Proceedings
Volume	23
ISSN	1089-6503

Conference

Conference	23rd EUROMICRO Conference, EUROMICRO'97
Country/Territory	Hungary
City	Budapest
Period	1/09/97 → 4/09/97

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10.1109/EURMIC.1997.617374

Cite this

@inproceedings{08ba1282389148499bdfeede9b7a9f63,

title = "Diagnosis information in meta-rule adaptive fuzzy systems",

abstract = "Meta-rule based adaptation methods are presented and discussed from the viewpoint of using fault diagnosis information in adapting a control system. Using fault diagnosis information in the parameterization of controllers is presented as a way to improve the performance of controllers in cases where faults, damages or a changing environment affect the behavior of a process or a device.The meta-rule approach, which is commonly used in control systems, is extended to cover information produced by a fault diagnosis system.The background of the methods presented is knowledge engineering with fuzzy logic and other intelligent techniques.",

author = "Tapio Rauma",

note = "Project code: E5SU00217; 23rd EUROMICRO Conference, EUROMICRO'97 : New frontiers of information technology ; Conference date: 01-09-1997 Through 04-09-1997",

year = "1997",

doi = "10.1109/EURMIC.1997.617374",

language = "English",

isbn = "978-0-8186-8129-5",

series = "EUROMICRO Conference Proceedings",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

pages = "564--569",

booktitle = "Proceedings of the 23rd EUROMICRO Conference",

address = "United States",

}

Rauma, T 1997, Diagnosis information in meta-rule adaptive fuzzy systems. in Proceedings of the 23rd EUROMICRO Conference: New frontiers of information technology. IEEE Institute of Electrical and Electronic Engineers, Los Alamitos, EUROMICRO Conference Proceedings, vol. 23, pp. 564-569, 23rd EUROMICRO Conference, EUROMICRO'97, Budapest, Hungary, 1/09/97. https://doi.org/10.1109/EURMIC.1997.617374

Diagnosis information in meta-rule adaptive fuzzy systems. / Rauma, Tapio.
Proceedings of the 23rd EUROMICRO Conference: New frontiers of information technology. Los Alamitos: IEEE Institute of Electrical and Electronic Engineers, 1997. p. 564-569 (EUROMICRO Conference Proceedings, Vol. 23).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Diagnosis information in meta-rule adaptive fuzzy systems

AU - Rauma, Tapio

N1 - Project code: E5SU00217

PY - 1997

Y1 - 1997

N2 - Meta-rule based adaptation methods are presented and discussed from the viewpoint of using fault diagnosis information in adapting a control system. Using fault diagnosis information in the parameterization of controllers is presented as a way to improve the performance of controllers in cases where faults, damages or a changing environment affect the behavior of a process or a device.The meta-rule approach, which is commonly used in control systems, is extended to cover information produced by a fault diagnosis system.The background of the methods presented is knowledge engineering with fuzzy logic and other intelligent techniques.

AB - Meta-rule based adaptation methods are presented and discussed from the viewpoint of using fault diagnosis information in adapting a control system. Using fault diagnosis information in the parameterization of controllers is presented as a way to improve the performance of controllers in cases where faults, damages or a changing environment affect the behavior of a process or a device.The meta-rule approach, which is commonly used in control systems, is extended to cover information produced by a fault diagnosis system.The background of the methods presented is knowledge engineering with fuzzy logic and other intelligent techniques.

U2 - 10.1109/EURMIC.1997.617374

DO - 10.1109/EURMIC.1997.617374

M3 - Conference article in proceedings

SN - 978-0-8186-8129-5

T3 - EUROMICRO Conference Proceedings

SP - 564

EP - 569

BT - Proceedings of the 23rd EUROMICRO Conference

PB - IEEE Institute of Electrical and Electronic Engineers

CY - Los Alamitos

T2 - 23rd EUROMICRO Conference, EUROMICRO'97

Y2 - 1 September 1997 through 4 September 1997

ER -

Diagnosis information in meta-rule adaptive fuzzy systems

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