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JIRSÍK, V., ČERNÝ, L.
Original Title
Signal Source Location by Means of Neural Network
Type
conference paper
Language
English
Original Abstract
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.
Key words in English
acoustic emission, neural network, location
Authors
RIV year
2002
Released
1. 1. 2002
Publisher
EWGAE
Location
Praha
ISBN
80-214-2174-6
Book
25th European Conference on Acoustic Emission Testing
Pages from
99
Pages to
105
Pages count
7
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" }