Detail publikace

Fuzzy Set Approach to Signal Detection

ŠEDA, M.

Originální název

Fuzzy Set Approach to Signal Detection

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

fuzzy set, detection, similarity measure

Autoři

ŠEDA, M.

Rok RIV

2007

Vydáno

18. 9. 2007

Nakladatel

Springer-Verlag

Místo

Berlin

ISBN

978-3-540-73955-5

Kniha

Jablonski, R., Turkowski, M. and Szewczyk, R. (eds.): Recent Advances in Mechatronics

Edice

Mechatronics

Číslo edice

1

Strany od

97

Strany do

101

Strany počet

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"
}