Adaptive noise cancellation schemes for magnetic flux leakage signals obtained from gas pipeline inspection

Author(s):  
M. Afzal ◽  
R. Polikar ◽  
L. Udpa ◽  
S. Udpa
2013 ◽  
Vol 441 ◽  
pp. 393-396
Author(s):  
Xiao Gang Han ◽  
Mei Quan Liu ◽  
Qin Lei Sun

In the application of magnetic flux leakage (MFL) nondestructive testing, the signal will be disturbed by varying noises. It seriously affects the accuracy of detection judgment result. This paper describes the design of least mean square (LMS) noise cancellation for MFL signal and the implementation based on ARM platform. Two giant magnetoresistive sensors are used to measure the signal, one sensor for MFL signal (with noise) and the other one for the noise signal. They are inputted to the noise cancellation to obtain pure MFL signals. Experimental results show that the LMS noise cancellation significantly improves the signal to noise ratio.


1996 ◽  
Vol 32 (3) ◽  
pp. 1581-1584 ◽  
Author(s):  
G. Katragadda ◽  
W. Lord ◽  
Y.S. Sun ◽  
S. Udpa ◽  
L. Udpa

2013 ◽  
Vol 718-720 ◽  
pp. 1000-1005
Author(s):  
Li Jian Yang ◽  
Sen Lin Zhang ◽  
Song Wei Gao

In order to solve the need of the oil and gas pipeline defect quantification in the real-time online defecting, magnetic flux leakage inspection method was applied to oil and gas pipeline inspection. According to the basic theory of the electromagnetic field, finite element solution of electromagnetic field and ANSYS electromagnetic field calculation theory, using the function of ANSYS 's simulation and calculation for magnetic field, three-dimensional finite element model of the oil and gas pipeline defect was built up. Through simulating, the relationship between defect signal and defect size was found, the optimal distance of the hall sensor lift-off value was verified, the best magnetization of leakage magnetic field was discussed, and various factors to influence the magnetic flux leakage signal is analyzed.


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