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Detail publikace
ŠEDA, M., JIRKŮ, J.
Originální název
Signal Detection Based on Similarity Measures
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The operation of technical processes requires increasingly advanced supervision and fault diagnosis to improve reliability, safety, and economy. Detection algorithms are generally optimised with respect to a particular set of cost functions chosen for the specific application. In the last few years in the field of detection systems there have been an increasing number of applications based on algorithms using methodologies, which belong to a subclass of Artificial Intelligence called Soft Computing. In this paper we propose a fuzzy similarity measure-based method for the detection of dangerous states based on matching a predefined database of these states with periodically measured or estimated parameter values.
Klíčová slova v angličtině
fault detection, similarity measure, threshold-based detector, fuzzy detector
Autoři
Rok RIV
2004
Vydáno
1. 6. 2004
Nakladatel
Slovak University of Technology
Místo
Štrbské Pleso (Slovakia)
ISBN
80-227-2059-3
Kniha
Abstracts of the 6th International Conference Control of Power Systems ’04
Strany od
182
Strany do
Strany počet
1
BibTex
@inproceedings{BUT12867, author="Miloš {Šeda} and Jaroslav {Jirků}", title="Signal Detection Based on Similarity Measures", booktitle="Abstracts of the 6th International Conference Control of Power Systems ’04", year="2004", pages="1", publisher="Slovak University of Technology", address="Štrbské Pleso (Slovakia)", isbn="80-227-2059-3" }