MFL Detection Defect Reconstruction of Pipeline Based on Conjugate Gradient Methods

摘要

For the problem of MFL (magnetic flux leakage) inner detection signal reconstruction for pipeline, a method based on the FR conjugate gradient iterative was introduced to solve the inverse problem of electromagnetic field. The physical model of magnetic flux leakage inner detection in pipeline had been established by the finite element analysis software named ANSYS. 90 groups of different parameters of defects had been simulated in MFL. Fundamental function had been found by fitting curve. FR conjugate gradient iterative had been programmed by MATLAB in order to solve nonlinear equations. Comparing with Newton, conjugate gradient can get reconstruction defect parameter more accurately and better reconstruction results.