Eddy Current Sensor as In-situ Assessment and Characterization of In-process Surface Defects in Wires/Rods Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

Eddy Current Sensor as In-situ Assessment and Characterization of In-process Surface Defects in Wires/Rods Using Machine Learning Algorithms

Published:2022-05-20 Issue: Volume: Page:
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Container-title:2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET)
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Author:

Dutta Chandan¹,Sagar S. Palit¹,Kumar Alok¹,Bhushan Ravi¹,Kadu Satish²,Das Tarun K.¹

Affiliation:

1. CSIR - National Metallurgical Laboratory,NDE and Magnetic Materials Group, Advanced Materials and Processes Division,Jamshedpur,India,831007

2. Tata Steel Ltd.,Technology Group, Long Products, Tarapur Wire Mill,India

Publisher

IEEE

Link

Reference14 articles.

2. Author ’ s Accepted Manuscript Evaluation of the Lift-off Robustness of Eddy Current Imaging Techniques;ricci;NDT E Int,2016

3. NDT and E International A novel feature extraction method of eddy current testing for defect detection based on machine learning;yin,2019

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