Publication detail

Fuzzy Set Approach to Signal Detection

ŠEDA, M.

Original Title

Fuzzy Set Approach to Signal Detection

Type

conference paper

Language

English

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

fuzzy set, detection, similarity measure

Authors

ŠEDA, M.

RIV year

2007

Released

18. 9. 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

Mechatronics

Edition number

1

Pages from

97

Pages to

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"
}