Eddy Current Flaw Detection with Neural Network Applications |
|---|
| Maria Wrzuszczak, Janusz Wrzuszczak |
- 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.
- Keywords:
- eddy current testing, flaw detection, artificial neural network, Radial Basis Networks
- Download:
- IMEKO-TC7-2002-028.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC7
- Event name:
- TC7 Symposium 2002
- Title:
- Symposium on New Developments in the Field of Measurement Science
- Place:
- Cracow, POLAND
- Time:
- 25 June 2002 - 27 June 2002