Publication detail
Signal Detection Based on Similarity Measures
ŠEDA, M. JIRKŮ, J.
English title
Signal Detection Based on Similarity Measures
Type
Paper in proceedings (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 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.
Released
2004-06-01
Publisher
Slovak University of Technology
Location
Štrbské Pleso (Slovakia)
ISBN
80-227-2059-3
Book
Abstracts of the 6th International Conference Control of Power Systems ’04
Pages from–to
182–
Pages count
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"
}