Publication detail
An Application of Fuzzy Logic to Signal Detection
ŠEDA, M. JIRKŮ, J.
Czech title
Aplikace fuzzy logiky k detekci signálů
English title
An Application of Fuzzy Logic to Signal Detection
Type
conference paper
Language
en
Original abstract
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 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
Provozování technických procesů vyžaduje neustále rostoucí nároky na úroveň diagnostiky chyb, která slouží k zvýšení spolehlivosti, bezpečnosti a hospodárnosti. Detekční algoritmy jsou většinou optimalizovány vzhledem k určité množině cenových funkcí zvolených v závislosti na aplikaci. V posledních několika letech oblast detekčních systémů a jejich aplikací zaznamenala velký růst. Používají se metody soft computingu, které patří do oblasti umělé inteligence. V příspěvku navrhujeme pro detekci nebezpečných stavů zařízení metodu založenou na fuzzy mírách podobnosti periodicky měřených nebo odhadovaných parametrů s kritickými hodnotami sledovaných parametrů uložených v databázi.
English abstract
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 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 English
fault detection, similarity measure, threshold-based detector, fuzzy detector
RIV year
2004
Released
01.05.2004
Publisher
Faculty of Mechanical Engineering and Robotics AGH UST Krakow
Location
Zakopane (Poland)
ISBN
83-89772-00-0
Book
Proceedings of the 5th International Carpathian Control Conference ICCC ’2004
Pages count
6
BIBTEX
@inproceedings{BUT12866,
author="Miloš {Šeda} and Jaroslav {Jirků},
title="An Application of Fuzzy Logic to Signal Detection",
booktitle="Proceedings of the 5th International Carpathian Control Conference ICCC ’2004",
year="2004",
month="May",
publisher="Faculty of Mechanical Engineering and Robotics AGH UST Krakow",
address="Zakopane (Poland)",
isbn="83-89772-00-0"
}