Publication detail

Experimental Study on Feature Selection Using Artificial AE Sources

CSÉFALVAY, G. SEDLÁK, P.

Original Title

Experimental Study on Feature Selection Using Artificial AE Sources

Type

conference paper

Language

English

Original Abstract

Acoustic emissions in materials might be generated by several different physical processes. Distinction of these processes can be supported by analysis of the recorded signals. An AE signal itself is not directly related to its origin. Signals are affected by many factors such as the tested specimen, waveguide transfer function given by structure and homogeneity of material, transfer function of used sensors, etc. This work aims to identify signal features that are correlated with acoustic emission source type by analyzing artificial acoustic emission events. Signals are generated using a piezoelectric transducer and a signal generator that emits signals with various parameters.

Keywords

artificial sources, source emulation, AE signal features, correlation

Authors

CSÉFALVAY, G.; SEDLÁK, P.

RIV year

2012

Released

16. 9. 2012

Publisher

University of Granada

Location

Granada

ISBN

978-84-615-9941-7

Book

30th European Conference on Acoustic Emission Testing & 7th International Conference on Acoustic Emission - Proceedings

Pages from

819

Pages to

825

Pages count

7

BibTex

@inproceedings{BUT93893,
  author="Gabriel {Cséfalvay} and Petr {Sedlák}",
  title="Experimental Study on Feature Selection Using Artificial AE Sources",
  booktitle="30th European Conference on Acoustic Emission Testing & 7th International Conference on Acoustic Emission - Proceedings",
  year="2012",
  pages="819--825",
  publisher="University of Granada",
  address="Granada",
  isbn="978-84-615-9941-7"
}