6533b873fe1ef96bd12d4a76

RESEARCH PRODUCT

Eddy current flaw detection with neural network applications

Maria WrzuszczakJanusz Wrzuszczak

subject

EngineeringArtificial neural networkbusiness.industryApplied MathematicsAcousticsInverse problemCondensed Matter PhysicsSignalSizinglaw.inventionlawEddy-current testingEddy currentElectronic engineeringEffective methodElectrical and Electronic EngineeringbusinessInstrumentation

description

Abstract Eddy current inspection is a fast and effective method for detecting and sizing most of the flaws in conducting materials. The inverse problem solution, i.e., inferencing about possible defect, based on the measurement signal from the eddy current probe, is a difficult task. In this paper an implementation of artificial neural networks for multi-frequency eddy current testing on conducting layers (aluminum, copper) and ferrous tubes has been presented.

yearjournalcountryeditionlanguage
2005-09-01Measurement
https://doi.org/10.1016/j.measurement.2005.04.004