Frequency Optimization for Enhancement of Surface Defect Classification Using the Eddy Current Technique.

Fan, Mengbao; Wang, Qi; Cao, Binghua; Ye, Bo; Sunny, Ali Imam; Tian, Guiyun

Fan, Mengbao; Wang, Qi; Cao, Binghua; Ye, Bo; Sunny, Ali Imam; Tian, Guiyun.

Afiliación

Fan M; School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China. wuzhi3495@cumt.edu.cn.
Wang Q; Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, China University of Mining and Technology, Xuzhou 221116, China. wuzhi3495@cumt.edu.cn.
Cao B; School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou 221116, China. wang501313823@126.com.
Ye B; School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China. caobinghua@cumt.edu.cn.
Sunny AI; Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China. yeripple@hotmail.com.
Tian G; School of Electrical and Electronic Engineering, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK. a.sunny@newcastle.ac.uk.

Sensors (Basel) ; 16(5)2016 05 07.

Article en En | MEDLINE | ID: mdl-27164112

Palabras clave

defect classification; eddy current sensor; feature extraction; frequency optimization; nondestructive testing; probe response

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2016 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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