Quantitative Identification of Pipeline Crack Based on BP Neural Network

2017 ◽  
Vol 737 ◽  
pp. 477-480 ◽  
Author(s):  
Shu Jun Liu ◽  
Sheng Lin Li ◽  
Ming Jiang ◽  
Dean He
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Oil And Gas ◽  
Gas Pipeline ◽  
Magnetic Memory ◽  
Memory Testing ◽  
Metal Magnetic Memory ◽  
Testing Signal ◽  
Quantitative Identification ◽  
Metal Magnetic Memory Testing

In the paper, the Metal Magnetic Memory Testing signal of pipeline crack is extracted. The BP neural network is constructed and trained. The experiment shows that the BP neural network can effectively identify the crack parameters of oil and gas pipeline in quantitative.

Research on the Attenuation Law of Metal Magnetic Memory Testing Signal

2014 ◽  
Vol 668-669 ◽  
pp. 981-984
Author(s):  
Yuan Liang Zhang ◽  
Yan Lv ◽  
Hao Zhang ◽  
Jin Long Wang ◽  
Gui Jie Zhang ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Magnetic Memory ◽  
Memory Testing ◽  
Static Tension ◽  
Metal Magnetic Memory ◽  
Surface Magnetic Field ◽  
Signal Value ◽  
Testing Signal ◽  
Metal Magnetic Memory Testing ◽  
Normal Magnetic Field

In order to clear the timeliness issues of metal magnetic memory signal value after unloading, we conduct some static tension experiments on some specimens in materials of KMN, which is commonly used in centrifugal compressors? Furthermore, we analyze the specimen, which is prefabricated artificial defects, on the surface normal magnetic field strength decay law with EMS-2003, the intelligent magnetic memory tester. The results show that: the surface magnetic field signal value is reduced by time after unloading, in other words it has certain timeliness.

scholarly journals Stress measurement using magnetic Barkhausen noise and metal magnetic memory testing

2010 ◽  
Vol 21 (5) ◽  
pp. 055703 ◽  
Author(s):  
Ping Wang ◽  
Shougao Zhu ◽  
Gui Yun Tian ◽  
Haitao Wang ◽  
John Wilson ◽  
...  
Keyword(s):  
Stress Measurement ◽  
Barkhausen Noise ◽  
Magnetic Memory ◽  
Memory Testing ◽  
Metal Magnetic Memory ◽  
Magnetic Barkhausen Noise ◽  
Metal Magnetic Memory Testing

Deformation characterization of oil and gas pipeline by ACM technique based on SSA-BP neural network model

Measurement ◽  
2021 ◽  
pp. 110654
Author(s):  
Jiaxing Xin ◽  
Jinzhong Chen ◽  
Chunyu Li ◽  
Runkun Lu ◽  
Xiaolong Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Oil And Gas ◽  
Gas Pipeline ◽  
Bp Neural Network Model

Magnetic crawler climbing detection robot basing on metal magnetic memory testing technology

2020 ◽  
Vol 125 ◽  
pp. 103439 ◽  
Author(s):  
Fumin Gao ◽  
JianChun Fan ◽  
Laibin Zhang ◽  
Jiankang Jiang ◽  
Shoujie He
Keyword(s):  
Magnetic Memory ◽  
Memory Testing ◽  
Metal Magnetic Memory ◽  
Testing Technology ◽  
Metal Magnetic Memory Testing

scholarly journals Characteristics of Metal Magnetic Memory Testing of 35CrMo Steel during Fatigue Loading

Metals ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. 119 ◽  
Author(s):  
Zhibin Hu ◽  
Jianchun Fan ◽  
Shengnan Wu ◽  
Haoyuan Dai ◽  
Shujie Liu
Keyword(s):  
Fatigue Loading ◽  
Magnetic Memory ◽  
Memory Testing ◽  
Metal Magnetic Memory ◽  
35Crmo Steel ◽  
Metal Magnetic Memory Testing

Eddy Current and Metal Magnetic Memory Testing Nondestructive Evaluation for Superficial Defects of Old Cylinder Barrel

2016 ◽  
Vol 850 ◽  
pp. 107-112
Author(s):  
Chang Liang Shi ◽  
Shi Yun Dong ◽  
Wei Xue Tang ◽  
Hao Zhan
Keyword(s):  
Stress Concentration ◽  
Eddy Current ◽  
Eddy Current Testing ◽  
Magnetic Memory ◽  
Memory Testing ◽  
Metal Magnetic Memory ◽  
Current Testing ◽  
Cylinder Barrel ◽  
Metal Magnetic Memory Testing

Eddy current testing and metal magnetic memory testing, cooperated with special testing devices, were applied to detect the superficial defects of old cylinder barrel. It was indicated that there were three types of the signals, which were non-defect signals, discontinuous peak signals and continuous peak signals. Non-defect signals indicated that there was no defect in cylinder barrel, and the discontinuous peak signals denoted that there was circumferential cracking, and the continuous peak signals showed that there was longitudinal cracking in the surface of cylinder barrel. The amplitude of eddy current testing signals characterizes the depth of cracking, and the gradient of magnetic signals descript the degree of stress concentration. The method mentioned above detects the cracking and stress concentration in the superficial coat of old cylinder barrel, which effectively guarantee the quality of automobile cylinder.

Analysis of Metal Magnetic Memory Testing Technology

2012 ◽  
Vol 503-504 ◽  
pp. 1623-1626
Author(s):  
Guo Min Lin ◽  
Hang Yun Lin ◽  
Kai Dong
Keyword(s):  
Memory Effect ◽  
Magnetic Memory ◽  
Memory Testing ◽  
Metal Magnetic Memory ◽  
Testing Technology ◽  
Metal Magnetic Memory Testing

The magnetic memory effect and the principle of magnetic memory testing are described; The phenomenon of the magnetostriction is discussed. An instance is used with detail to analysis of the effect and mechanism of metal magnetic memory testing technology. Some opinions about the further work needs to be done in this area are given finally.

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