Quantitative method of pipeline magnetic leakage internal signal detection on the basis of an improved neural network.

ABSTRACT: In response to the problem of poor quantification ability and unclear feature correlation of pipeline defect magnetic flux leakage signals, a neural network is proposed to establish the relationship between the characteristic quantities of pipeline defect magnetic flux leakage signals and defect sizes. The characteristic quantities of pipeline defect magnetic flux leakage signals that measure the length, width and depth of pipeline defects are determined by combining the characteristic quantities of the radial and axial components of defect magnetic flux leakage signals in actual pipelines. A database of magnetic leakage signal characteristic quantities for pipeline defects is established by extracting and organizing the characteristic quantities of magnetic leakage signals. Moreover, a pa

SUBMITTER: Wang G 

PROVIDER: S-EPMC12855855 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature