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Eddy Current Measurement for Planar Structures.
Xia, Zihan; Huang, Ruochen; Chen, Ziqi; Yu, Kuohai; Zhang, Zhijie; Salas-Avila, Jorge Ricardo; Yin, Wuliang.
Afiliación
  • Xia Z; School of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.
  • Huang R; College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
  • Chen Z; School of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.
  • Yu K; School of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.
  • Zhang Z; School of Instrument and Electronics, North University of China, Taiyuan 030051, China.
  • Salas-Avila JR; MAIERIC Ltd., Manchester M15 6SZ, UK.
  • Yin W; School of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.
Sensors (Basel) ; 22(22)2022 Nov 10.
Article en En | MEDLINE | ID: mdl-36433290
Eddy current (EC) testing has become one of the most common techniques for measuring metallic planar structures in various industrial scenarios such as infrastructures, automotive, manufacturing, and chemical engineering. There has been significant progress in measuring the geometry, electromagnetic properties, and defects of metallic planar structures based on electromagnetic principles. In this review, we summarize recent developments in EC computational models, systems, algorithms, and measurement approaches for planar structures. First, the computational models including analytical models, numerical methods, and plate property estimation algorithms are introduced. Subsequently, the impedance measurement system and probes are presented. In plate measurements, sensor signals are sensitive to probe lift-off, and various algorithms for reducing the lift-off effect are reviewed. These approaches can be used for measureing thickness and electromagnetic properties. Furthermore, defect detection for metallic plates is also discussed.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article Pais de publicación: Suiza