Adaptive Neuro-Fuzzy Inference System Model Based on the Width and Depth of the Defect in an Eddy Current Signal

Adaptive Neuro-Fuzzy Inference System Model Based on the Width and Depth of the Defect in an Eddy Current Signal

Non-destructive evaluation (NDE) plays an important role in many industrial fields, such as detecting cracking in steam generator tubing in nuclear power plants and aircraft. This paper investigates on the effect of the depth of the defect, width of the defect, and the type of the material on the ed...

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Bibliographic Details
Main Authors: Moneer, A. Faraj, Fahmi, Samsuri, Abdalla, Ahmed N., Damhuji, Rifai, Kharudin, Ali
Format: Article
Language:English
English
Published: MDPI AG 2017
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/18344/
http://umpir.ump.edu.my/id/eprint/18344/
http://umpir.ump.edu.my/id/eprint/18344/
http://umpir.ump.edu.my/id/eprint/18344/1/Adaptive%20neuro-fuzzy%20inference%20system%20model%20based%20on%20the%20width%20and%20depth%20of%20the%20defect%20in%20an%20eddy%20current%20signal.pdf
http://umpir.ump.edu.my/id/eprint/18344/2/Adaptive%20neuro-fuzzy%20inference%20system%20model%20based%20on%20the%20width%20and%20depth%20of%20the%20defect%20in%20an%20eddy%20current%20signal%201.pdf

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