Magnetic flux leakage (MFL) testing is a widely used nondestructive testing (NDT) method
for the inspection of ferromagnetic materials. This review paper presents the basic principles …

Magnetic flux leakage testing (MFL) is the most widely used nondestructive testing
technology in the safety inspection of oil and gas pipelines. The analysis of MFL test data is …

This paper proposes an injurious or noninjurious defect identification method from magnetic
flux leakage (MFL) images based on convolutional neural network. Different from previous …

Defect depth is an essential indicator in magnetic flux leakage (MFL) detection and
estimation. The quantification errors for defect depth are closely related to length and width …

Pipelines are economical and efficient modes of transporting oil and gas. Pipelines will
inevitably confront various risk factors throughout their lifespan, which could lead to defects …

Alongside the development of high-speed rail, rail flaw detection is of great importance to
ensure railway safety, especially for improving the speed and load of the train. Several …

In this article, we present a machine learning-based quantitative method for the
interpretation of signals gathered from nondestructive testing (NDT) of steel pipelines via a …

In this paper, we propose a new procedure to estimate the shape of the opening and the
depth profile of an arbitrary three-dimensional (3-D) defect from magnetic flux leakage (MFL) …

Natural gas transmission pipelines are commonly inspected using magnetic flux leakage
(MFL) method for detecting cracks and corrosion in the pipewall. Traditionally the MFL data …

The application of fiber reinforced polymer (FRP) composites to repair reinforcement
concrete (RC) structures has emerged as a new and viable choice. However, the …