Publication detail
Fuzzy Set Approach to Signal Detection
ŠEDA, M.
English title
Fuzzy Set Approach to Signal Detection
Type
Paper in proceedings (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.
Keywords in English
fuzzy set, detection, similarity measure
Released
2007-09-18
Publisher
Springer-Verlag
Location
Berlin
ISBN
978-3-540-73955-5
Book
Jablonski, R., Turkowski, M. and Szewczyk, R. (eds.): Recent Advances in Mechatronics
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",
series="Mechatronics",
number="1",
pages="97--101",
publisher="Springer-Verlag",
address="Berlin",
isbn="978-3-540-73955-5"
}