Detail publikačního výsledku

Signal Source Location by Means of Neural Network

JIRSÍK, V., ČERNÝ, L.

Originální název

Signal Source Location by Means of Neural Network

Anglický název

Signal Source Location by Means of Neural Network

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

This work deals with pertinent application of signal source location method by means of neural network. As a source an acoustic emission signal was used. Among the most important parameters participating in the final results was the correct measurement method and signal processing choice. For the source signal location the back propagation-type neural network was used. Thanks to this network‘s ability to ‚learn‘ and adapt to ambient conditions, represented by jamming signals, it was possible to take these into account. The problem dealt with was the choice of suitable signal parameters of all the parameters obtained by measurement. These parameters then represented the neural network inputs and influenced its results. Therefore, it was necessary to make several experimental measurements. As the final ones were selected those, with which the neural network results gave the most accurate values. The accuracy evaluation was done by comparing the neural network outputs with required values of coordinates.

Anglický abstrakt

This work deals with pertinent application of signal source location method by means of neural network. As a source an acoustic emission signal was used. Among the most important parameters participating in the final results was the correct measurement method and signal processing choice. For the source signal location the back propagation-type neural network was used. Thanks to this network‘s ability to ‚learn‘ and adapt to ambient conditions, represented by jamming signals, it was possible to take these into account. The problem dealt with was the choice of suitable signal parameters of all the parameters obtained by measurement. These parameters then represented the neural network inputs and influenced its results. Therefore, it was necessary to make several experimental measurements. As the final ones were selected those, with which the neural network results gave the most accurate values. The accuracy evaluation was done by comparing the neural network outputs with required values of coordinates.

Klíčová slova v angličtině

acoustic emission, neural network, location

Autoři

JIRSÍK, V., ČERNÝ, L.

Vydáno

01.01.2002

Nakladatel

EWGAE

Místo

Praha

ISBN

80-214-2174-6

Kniha

25th European Conference on Acoustic Emission Testing

Strany od

99

Strany počet

7

Plný text v Digitální knihovně

http://hdl.handle.net/

BibTex

@inproceedings{BUT5352,
  author="Václav {Jirsík} and Luděk {Černý}",
  title="Signal Source Location by Means of Neural Network",
  booktitle="25th European Conference on Acoustic Emission Testing",
  year="2002",
  pages="7",
  publisher="EWGAE",
  address="Praha",
  isbn="80-214-2174-6"
}