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...
Main Authors: | Moneer, A. Faraj, Fahmi, Samsuri, Abdalla, Ahmed N., Damhuji, Rifai, Kharudin, Ali |
---|---|
Format: | Article |
Language: | English English |
Published: |
MDPI AG
2017
|
Subjects: | |
Online Access: | 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 |
Similar Items
-
Investigate of the Effect of Width Defect on Eddy Current Testing Signals Under Different Materials
by: Faraj, Moneer A., et al.
Published: (2017) -
A Review on System Development in Eddy Current Testing and Technique for Defect Classification and Characterization
by: Kharudin, Ali, et al.
Published: (2017) -
Multi-Excitation Signal for Depth Crack Defect in Eddy Current Testing
by: Kharudin, Ali, et al.
Published: (2017) -
Construct coil probe using GMR sensor for eddy current testing
by: Faraj, Moneer A., et al.
Published: (2016) -
Challenges in improving the performance of eddy current testing: Review
by: Abdalla, Ahmed N., et al.
Published: (2018)