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

• 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/18344/1/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; http://umpir.ump.edu.my/id/eprint/18344/; http://www.mdpi.com/2076-3417/7/7/668/htm
• Institution: Universiti Malaysia Pahang

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...