Time-frequency characteristics of acoustic emission signal for monitoring of welding structural state using Stockwell transform

2019 ◽  
Vol 145 (1) ◽  
pp. 469-479 ◽  
Author(s):  
Kuanfang He ◽  
Siwen Xiao ◽  
Xuejun Li
Keyword(s):  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Structural State ◽  
Frequency Characteristics ◽  
Time Frequency ◽  
Emission Signal ◽  
Stockwell Transform

Research of the cold resistance of metals by indentation with registration of an acoustic emission signal

2020 ◽  
pp. 61-64
Author(s):  
Yu.G. Kabaldin ◽  
A.A. Khlybov ◽  
M.S. Anosov ◽  
D.A. Shatagin
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Low Temperatures ◽  
Cold Resistance ◽  
Emission Signal ◽  
Impact Bending ◽  
Artificial Neural

The study of metals in impact bending and indentation is considered. A bench is developed for assessing the character of failure on the example of 45 steel at low temperatures using the classification of acoustic emission signal pulses and a trained artificial neural network. The results of fractographic studies of samples on impact bending correlate well with the results of pulse recognition in the acoustic emission signal. Keywords acoustic emission, classification, artificial neural network, low temperature, character of failure, hardness. [email protected]

Laser cladding state recognition and crack defect diagnosis by acoustic emission signal and neural network

2021 ◽  
Vol 142 ◽  
pp. 107161
Author(s):  
Kaiqiang Li ◽  
Tao Li ◽  
Min Ma ◽  
Dong Wang ◽  
Weiwei Deng ◽  
...  
Keyword(s):  
Neural Network ◽  
Acoustic Emission ◽  
Laser Cladding ◽  
Acoustic Emission Signal ◽  
State Recognition ◽  
Emission Signal ◽  
Defect Diagnosis ◽  
Crack Defect

Three-Point Bending Test Evaluation of Concrete Specimens by Non-Traditional Analysis of Acoustic Emission Method

2016 ◽  
Vol 837 ◽  
pp. 198-202
Author(s):  
Luboš Pazdera ◽  
Libor Topolář ◽  
Tomáš Vymazal ◽  
Petr Daněk ◽  
Jaroslav Smutny
Keyword(s):  
Acoustic Emission ◽  
Signal Analysis ◽  
Measurement Data ◽  
Bending Test ◽  
Test Evaluation ◽  
Acoustic Emission Method ◽  
Emission Method ◽  
Three Point Bending ◽  
Time Frequency ◽  
Emission Signal

The aim of the paper is focused on the analysis of the mechanical properties of the concrete specimens with plasticizer at three point bending test by the signal analysis of the acoustic emission signal. The evaluations were compared the measurement and the results obtained with theoretical presumptions. The Joint Time Frequency Analysis applied on measurement data and its evaluation is described. It is well known that the Acoustic Emission Method is a very sensitive method to determine active cracks into structure. However, evaluation of acoustic emission signals is very difficult. A non-traditional method was used to signal analysis of burst acoustic emission signals recorded during three point bending test.

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