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66 370 (0,22s) •

Result

OPTIMIZED NUMBER OF SIGNAL FEATURES FOR IDENTIFICATION OF AE SOURCES

of AE sources. The proper selection of extracted data features is complicated task in general data recognition. Standard AE signal parameters are often redundant or not relevant in recognition problem. Modifications of sta...

BI - Akustika a kmity

  • 2008
    • •
  • O
Result

OPTIMIZED NUMBER OF SIGNAL FEATURES FOR IDENTIFICATION OF AE SOURCES

of AE sources. The proper selection of extracted data features is complicated task in general data recognition. Standard AE signal parameters are often redundant or not relevant in recognition problem. Modifications of sta...

BI - Akustika a kmity

  • 2008
    • •
  • D
Result

ADVANCED ACOUSTIC EMISSION SOURCE LOCATION IN COMPLEX AIRCRAFT STRUCTURE

in medium or large structure (such as pressure vessel or piping system). AE source low requirements on AE source location algorithm input parameters (e.g. elastic is small andaccurate AE source l...

BI - Akustika a kmity

  • 2008
    • •
  • D
Result

Localization and Identification of AE Sources by the Help of Time Reversal Mirrors

In this paper we suggest new concepts of more precise acoustic emission (AE) source localization and identification in komplex structures. The method is based on a Time Reversal (TR) AE signal processing. The new offline pr...

BI - Akustika a kmity

  • 2012
    • •
  • D
Result

Neural Network AE Source Location Based on Extracted Signal Features

The new method of the AE source location by artificial neural networks, which process extracted signal parameters and do not consider the arrival time differences, is introduced....

BI - Akustika a kmity

  • 2005
    • •
  • D
Result

AE SOURCE RECOGNITION BY NEURAL NETWORKS WITH OPTIMIZED SIGNAL PARAMETERS

AE source recognition procedures using artificial neural networks (ANN) were already applied successfully to AE data from numerical models and simple structures on recognition of various AE sources, detect...

BI - Akustika a kmity

  • 2008
    • •
  • D
Result

Progressive Approaches to Localization and Identification of AE Sources

In this paper we suggest new concept of more precise AE source localization and identification in complex structures. The method is based on a Time Reversal (TR) AE signal processing. AE signals, recorded by transd...

BI - Akustika a kmity

  • 2012
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  • D
Result

AE source space localization in thickwall structures.

Article deals with an analysis of application potential and precision of 3D-localization of AE sources within the scope of the local AE monitoring of a selected area of a thick walled structure....

BI - Akustika a kmity

  • 2002
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  • D
Result

Time reversal location of continuous and burst acoustic emission sources.

Suggested TR-based AE source location procedure is verified by artificial AE sources acting on a steel plate under background noise. Planar source location of burst signal is realized with using only one t...

Applied mechanics

  • 2018
    • •
  • Jost
Result

Time reversal signal processing in acoustic emission testing

emission (AE) sources is one of the most important and also most difficult problems in AE monitoring. In this paper we discuss relatively new methods of precise AE source localization and identification i...

BI - Akustika a kmity

  • 2014
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  • O
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