Feature Extraction of the Acoustic Emission Signals of Low Carbon Steel Pitting Corrosion Based on Independent Component Analysis and Wavelet Transform

2013 ◽  
Vol 373-375 ◽  
pp. 677-680
Author(s):  
Wei Li ◽  
Yu Li Gong ◽  
Yang Yu

Based on the characteristics of the acoustic emission (AE) signals from low carbon steel pitting corrosion, a new extraction method was proposed with wavelet transformation and independent component analysis. The experiment result shows that the new method can overcome the influence induced by the uncertainty of the independent source of low carbon steel pitting corrosion and good extraction result can be achieved.

2021 ◽  
pp. 18-26
Author(s):  
Л.Н. Степанова ◽  
М.М. Кутень ◽  
А.Л. Бобров

The results of amplitude analysis of discrete acoustic emission signals from developed sources such as fatigue cracks are presented. A combined loading of low-alloy and low-carbon steel samples with stress concentrators was carried out. The analysis of the probability density of the distribution of the registered AE signals from one source by amplitudes was made. A power-behaved dependence of the frequency of distribution of the amplitude of signals with a high correlation coefficient for AE sources has been established. The research data made it possible to develop a method for restoring the total number of acoustic emission acts from a source at a given sensitivity level.


2015 ◽  
Vol 46 (7) ◽  
pp. 736-746 ◽  
Author(s):  
H. Bi ◽  
Z. Li ◽  
D. Hu ◽  
I. Toku-Gyamerah ◽  
Y. Cheng

Author(s):  
Zhongzheng Zhang ◽  
Cheng Ye ◽  
Jun Jiang

In order to study acoustic emission (AE) signals characteristics of pitting corrosion on carbon steel, Pitting corrosion process on carbon steel in 6% ferric chloride solution was monitored by AE technology. K-mean cluster algorithm was used to classify the monitored AE signals, in which the duration, counts, amplitude, absolute energy and peak frequency were analyzed as the AE signals characteristics, and different types AE sources were identified. The results showed that there were mainly three type AE sources during carbon steel pitting corrosion process in ferric chloride solution, and the different types AE sources could be classified by cluster analysis. The research results have some certain significance for AE monitoring of pitting corrosion on carbon steel.


Author(s):  
Huaixiang Cao ◽  
Hao Zhang ◽  
Xingqi Qiu

Low-carbon steel Q235B was widely used in low or middle pressure equipments, which were not only withstanding the corrosive effect of the environment or medium, but also the high stress in service processes. In this paper, acetic acid accelerated corrosion test of low-carbon steel Q235B under the action of various stress levels was conducted, and its pitting corrosion behavior was studied by corrosion morphology, pitting corrosion parameters, scanning electron microscope (SEM) and energy disperse spectroscopy (EDS). The results showed that, the degree of pitting corrosion of low carbon steel Q235B with stress was more serious than that of non-stress. And the corrosion started from grain boundary, which was corroded before grain itself, and then grains fell off or dissolved. Furthermore, it would have the tendency of deep hole corrosion with stress, which was more of a threat to the structural safety of pressure vessels.


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