Detail publikace

Signal Detection Based on Similarity Measures

ŠEDA, M., JIRKŮ, J.

Originální název

Signal Detection Based on Similarity Measures

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova v angličtině

fault detection, similarity measure, threshold-based detector, fuzzy detector

Autoři

ŠEDA, M., JIRKŮ, J.

Rok RIV

2004

Vydáno

1. 6. 2004

Nakladatel

Slovak University of Technology

Místo

Štrbské Pleso (Slovakia)

ISBN

80-227-2059-3

Kniha

Abstracts of the 6th International Conference Control of Power Systems ’04

Strany od

182

Strany do

182

Strany počet

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"
}