A Novel Cascaded Deep Learning Model for the Detection and Quantification of Defects in Pipelines via Magnetic Flux Leakage Signals
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3272377
Abstract: 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 semi-autonomous in-line-inspection (ILI) robot. The robot has a magnetic-flux-leakage (MFL)… read more here.
Keywords: pipelines via; quantification; flux leakage; detection ... See more keywords