Wavelets application on acoustic emission signal detection in pipeline

2008 ◽  
Author(s):  
Ran Wu ◽  
Zaiyi Liao ◽  
Lian Zhao ◽  
Xiangjie Kong
Keyword(s):  
Acoustic Emission ◽  
Signal Detection ◽  
Acoustic Emission Signal ◽  
Emission Signal

Experimental Study on Acoustic Emission Signal Detection in Process of Laser-Induced Backside Wet Etching of Sapphire

2017 ◽  
Vol 44 (4) ◽  
pp. 0402003
Author(s):  
罗志良 Luo Zhiliang ◽  
谢小柱 Xie Xiaozhu ◽  
魏昕 Wei Xin ◽  
胡伟 Hu Wei ◽  
任庆磊 Ren Qinglei ◽  
...  
Keyword(s):  
Experimental Study ◽  
Acoustic Emission ◽  
Signal Detection ◽  
Acoustic Emission Signal ◽  
Wet Etching ◽  
Emission Signal

scholarly journals Improving of Acoustic Emission Signal Detection for Fatigue Fracture Monitoring

2017 ◽  
Vol 176 ◽  
pp. 284-290 ◽  
Author(s):  
A. Danyuk ◽  
I. Rastegaev ◽  
E. Pomponi ◽  
M. Linderov ◽  
D. Merson ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Signal Detection ◽  
Fatigue Fracture ◽  
Acoustic Emission Signal ◽  
Emission Signal

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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