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75 651 (0,153s)

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. One of the main problems in general data recogni...

BI - Akustika a kmity

  • 2008
  • D
Result

OPTIMIZED NUMBER OF SIGNAL FEATURES FOR IDENTIFICATION OF AE SOURCES

. This optimization is illustrated by recognition of AE sources arising during fatigue tests of AE sources. The proper selection of extracted data features is complicated task in general data recogniti...

BI - Akustika a kmity

  • 2008
  • O
Result

OPTIMIZED NUMBER OF SIGNAL FEATURES FOR IDENTIFICATION OF AE SOURCES

. This optimization is illustrated by recognition of AE sources arising during fatigue tests of AE sources. The proper selection of extracted data features is complicated task in general data recogniti...

BI - Akustika a kmity

  • 2008
  • D
Result

Micro‑Fracturing in Granitic Rocks During Uniaxial Loading: The Role of Grain Size Heterogeneity

recognition, AE localization, and the AE source mechanism). However, our focus was to study AE source mechanisms via the application of a shear-tensile crack source model properties of r...

Environmental and geological engineering, geotechnics

  • 2024
  • Jimp
  • Link
Result

Investigation of transformation processes in shape memory alloys based on monitoring acoustic emission activity.

Stress induced martensitic transformation in Cu-based memory alloys were studied by AE methods. AE phenomena was used for nondestructive recognition of various transformation processes. Correlation of structural processes a...

JJ - Ostatní materiály

  • 2002
  • 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

Identification of Contact Fatigue Stages with Acoustic Emission Method

The knowledge with the acoustic emission (AE) method utilisation at tests on contact loaded surfaces is discussed. The results proved the AE technique enables reliable recognition of running-in period, stabilised run and ex...

JL - Únava materiálu a lomová mechanika

  • 2006
  • D
Result

Contact fatigue identification with acoustic emission method

The knowledge with the acoustic emission (AE) method utilisation at tests on contact loaded surfaces are discussed. The results proved the AE technique enables reliable recognition of running-in period, stabilised run and e...

JL - Únava materiálu a lomová mechanika

  • 2006
  • 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
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