The relative entropy of wavelet energy of Metal Magnetic Memory signal used in feature analysis of crack propagation in ferromagnetic materials

2017 ◽  
Author(s):  
Xue Nan ◽  
Chang Zhigang ◽  
Jin Aiwei ◽  
Man Yanfan ◽  
Nie Yang ◽  
...  
Keyword(s):  
Crack Propagation ◽  
Relative Entropy ◽  
Ferromagnetic Materials ◽  
Feature Analysis ◽  
Magnetic Memory ◽  
Metal Magnetic Memory ◽  
Wavelet Energy

scholarly journals Application of Metal Magnetic Memory Testing Technology to the Detection of Stress Corrosion Defect

2020 ◽  
Vol 10 (20) ◽  
pp. 7083
Author(s):  
Bingxun Zhao ◽  
Kai Yao ◽  
Libo Wu ◽  
Xinglong Li ◽  
Yue-Sheng Wang
Keyword(s):  
Stress Corrosion ◽  
Normal Component ◽  
Ferromagnetic Materials ◽  
Error Rates ◽  
Magnetic Memory ◽  
Memory Testing ◽  
Metal Magnetic Memory ◽  
Corrosion Defect ◽  
Detection Of Stress ◽  
Metal Magnetic Memory Testing

The damage of equipment manufactured with ferromagnetic materials in service can be effectively detected by Metal Magnetic Memory Testing (MMMT) technology, which has received extensive attention in various industry fields. The effect of stress or strain on Magnetic Flux Leakage (MFL) signals of ferromagnetic materials has been researched by many scholars for assessing stress concentration and fatigue damage. However, there is still a lack of research on the detection of stress corrosion damage of ferromagnetic materials by MMMT technology. In this paper, the electrochemical corrosion system was designed for corrosion experiments, and three different experiments were performed to study the effect of corrosion on MFL signals. The distribution of MFL signals on the surface of the specimen was investigated. The results indicated that both the normal component Hn and tangential component Ht of MFL signals presented different signal characteristics when the specimen was subjected to different working conditions. Finally, two characterization parameters, Sn and St, were defined to evaluate the corrosion degree of the specimen, and St is better. The direct dependence of corrosion depth on the parameter was developed and the average error rates between the predicted and measured values are 8.94% under the same working condition. Therefore, the expression can be used to evaluate the corrosion degree of the specimen quantitatively. The results are significant for detecting and assessing the corrosion defect of ferromagnetic materials.

Metal magnetic memory testing for early damage assessment in ferromagnetic materials

2005 ◽  
Vol 12 (2) ◽  
pp. 102-106 ◽  
Author(s):  
Li-hong Dong ◽  
Bin-shi Xu ◽  
Shi-yun Dong ◽  
Qun-zhi Chen ◽  
Yu-ya Wang ◽  
...  
Keyword(s):  
Damage Assessment ◽  
Ferromagnetic Materials ◽  
Magnetic Memory ◽  
Memory Testing ◽  
Metal Magnetic Memory ◽  
Metal Magnetic Memory Testing ◽  
Early Damage
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