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	23rd EUROMICRO Conference: new frontiers of information technology, EUROMICRO'97. Budapest, HU, 1 - 4 Sept. 1997
Place of Publication	Los Alamitos
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	564-569
ISBN (Print)	0-8186-8129-2
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 Sep 1997 → 4 Sep 1997

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 = "0-8186-8129-2",

pages = "564--569",

booktitle = "23rd EUROMICRO Conference: new frontiers of information technology, EUROMICRO'97. Budapest, HU, 1 - 4 Sept. 1997",

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

address = "United States",

}

Rauma, T 1997, Diagnosis information in meta-rule adaptive fuzzy systems. in 23rd EUROMICRO Conference: new frontiers of information technology, EUROMICRO'97. Budapest, HU, 1 - 4 Sept. 1997. IEEE Institute of Electrical and Electronic Engineers, Los Alamitos, 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.

23rd EUROMICRO Conference: new frontiers of information technology, EUROMICRO'97. Budapest, HU, 1 - 4 Sept. 1997. Los Alamitos : IEEE Institute of Electrical and Electronic Engineers, 1997. p. 564-569.

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 - 0-8186-8129-2

SP - 564

EP - 569

BT - 23rd EUROMICRO Conference: new frontiers of information technology, EUROMICRO'97. Budapest, HU, 1 - 4 Sept. 1997

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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