Optimization of Non-destructive Detection Method for Metal Pipelines Based on Magnetic Induction Tomography

Pipeline transportation has become an indispensable way in production and life. However, the emergence of pipeline defects causes great harm, so timely detection of pipeline defects is crucial for all fields. At present, Magnetic Induction Tomography technology is applied to non-destructive health inspection of metal pipelines, which can infer the location of pipeline defects and visually reconstruct them. However, the traditional sensor array consisting of 12 coils can’t accurately recognize the defects categories when detecting defects of different shapes and depths. In order to solve this problem, the sensor array design is improved, which is composed of a pair of Helmholtz coils and 24 side-by-side detection coils. The experimental results show that the optimized sensor array can better recognize the variation amplitude of different defects and improve the identification degree of defects.