Publication detail
Fuzzy Set Approach to Signal Detection
ŠEDA, M.
Czech title
Signálová detekce pomocí fuzzy množin
English title
Fuzzy Set Approach to Signal Detection
Type
conference paper
Language
en
Original abstract
Automated supervision and fault diagnosis are important features in design of efficient and reliable systems. 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 method for the detection of dangerous states based on matching a predefined database of these states with periodically measured or estimated parameter values.
Czech abstract
Automatická kontrola a diagnóza chyb jsou významnými rysy v návrhu efektivních a spolehlivých systémů. Detekční algoritmy jsou obvykle optimalizovány s ohledem na konkrétní množinu cenových funkcí pro specificky danou aplikaci. V posledních několika letech na poli detekčních systémů roste počet aplikací založených na algoritmech využívajících metodologie, které náleží k podtřídě umělé inteligence, a označují se jako soft computing. V příspěvku je s využitím fuzzy množin navržena metoda pro detekci nebezpečných stavů založená na srovnávání předem definované databáze těchto stavů s periodicky měřenými nebo odhadnutými hodnotami hodnot parametrů.
English abstract
Automated supervision and fault diagnosis are important features in design of efficient and reliable systems. 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 method for the detection of dangerous states based on matching a predefined database of these states with periodically measured or estimated parameter values.
Keywords in Czech
fuzzy množina, detekce, míra podobnosti
Keywords in English
fuzzy set, detection, similarity measure
RIV year
2007
Released
18.09.2007
Publisher
Springer-Verlag
Location
Berlin
ISBN
978-3-540-73955-5
Book
Jablonski, R., Turkowski, M. and Szewczyk, R. (eds.): Recent Advances in Mechatronics
Edition number
1
Pages from–to
97–101
Pages count
5
BIBTEX
@inproceedings{BUT30272,
author="Miloš {Šeda},
title="Fuzzy Set Approach to Signal Detection",
booktitle="Jablonski, R., Turkowski, M. and Szewczyk, R. (eds.): Recent Advances in Mechatronics",
year="2007",
month="September",
pages="97--101",
publisher="Springer-Verlag",
address="Berlin",
isbn="978-3-540-73955-5"
}