Acoustic emission signal characteristics and its critical slowing down phenomenon during the loading process of water-bearing sandstone

2021 ◽  
Vol 194 ◽  
pp. 104458
Author(s):  
Hongru Li ◽  
Rongxi Shen ◽  
Yafei Qiao ◽  
Manchao He
Keyword(s):  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Critical Slowing Down ◽  
Emission Signal ◽  
Slowing Down ◽  
Loading Process ◽  
Signal Characteristics

Acoustic Emission Monitoring of Low Carbon Steel Corrosion inside and outside the Comparative Study

2013 ◽  
Vol 331 ◽  
pp. 246-249
Author(s):  
Wei Li ◽  
Shao Fan Wang ◽  
Xin Jia
Keyword(s):  
Acoustic Emission ◽  
Carbon Steel ◽  
Acoustic Emission Signal ◽  
Low Carbon Steel ◽  
Steel Corrosion ◽  
Corrosion Process ◽  
Uniform Corrosion ◽  
Low Carbon ◽  
Emission Signal ◽  
Signal Characteristics

This paper applied acoustic emission technology, monitoring low carbon steel uniform corrosion process, obtained low carbon steel corrosion acoustic emission signal in the process of uniform corrosion, And analyzed acoustic emission signal characteristics of the low carbon steel corrosion process applied the method combining characteristic parameters with wavelet packet transform, in the meantime combined the detection data of storage tank, Contrast acoustic emission signal characteristics of low carbon steel corrosion in experiment conditions and acoustic emission signal characteristics of storage tank corrosion in actual conditions, the result provides reference for acoustic emission research of low carbon steel uniform corrosion process and tanks online acoustic emission testing.

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]

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