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Advancements in and Research on Coplanar Capacitive Sensing Techniques for Non-Destructive Testing and Evaluation: A State-of-the-Art Review.
Abdollahi-Mamoudan, Farima; Ibarra-Castanedo, Clemente; Maldague, Xavier P V.
Afiliación
  • Abdollahi-Mamoudan F; Department of Electrical and Computer Engineering, Université Laval, 1065 Avenue de la Médecine, Quebec, QC G1V 0A6, Canada.
  • Ibarra-Castanedo C; Department of Electrical and Computer Engineering, Université Laval, 1065 Avenue de la Médecine, Quebec, QC G1V 0A6, Canada.
  • Maldague XPV; Department of Electrical and Computer Engineering, Université Laval, 1065 Avenue de la Médecine, Quebec, QC G1V 0A6, Canada.
Sensors (Basel) ; 24(15)2024 Aug 01.
Article en En | MEDLINE | ID: mdl-39124031
ABSTRACT
In contrast to conventional non-destructive testing (NDT) and non-destructive evaluation (NDE) methodologies, including radiography, ultrasound, and eddy current analysis, coplanar capacitive sensing technique emerges as a novel and promising avenue within the field. This paper endeavors to elucidate the efficacy of coplanar capacitive sensing, also referred to as capacitive imaging (CI), within the realm of NDT. Leveraging extant scholarly discourse, this review offers a comprehensive and methodical examination of the coplanar capacitive technique, encompassing its fundamental principles, factors influencing sensor efficacy, and diverse applications for defect identification across various NDT domains. Furthermore, this review deliberates on extant challenges and anticipates future trajectories for the technique. The manifold advantages inherent to coplanar capacitive sensing vis-à-vis traditional NDT methodologies not only afford its versatility in application but also underscore its potential for pioneering advancements in forthcoming applications.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza