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Super-sensing technology: industrial applications and future challenges of electrical tomography.
Wei, Kent Hsin-Yu; Qiu, Chang-Hua; Primrose, Ken.
Afiliación
  • Wei KH; Research and Development Department, Industrial Tomography Systems Plc, 85 Quay Street, Manchester M3 3JZ, UK kent.wei@itoms.com.
  • Qiu CH; Research and Development Department, Industrial Tomography Systems Plc, 85 Quay Street, Manchester M3 3JZ, UK.
  • Primrose K; Research and Development Department, Industrial Tomography Systems Plc, 85 Quay Street, Manchester M3 3JZ, UK.
Philos Trans A Math Phys Eng Sci ; 374(2070)2016 Jun 28.
Article en En | MEDLINE | ID: mdl-27185967
ABSTRACT
Electrical tomography is a relatively new imaging technique that can image the distribution of the passive electrical properties of an object. Since electrical tomography technology was proposed in the 1980s, the technique has evolved rapidly because of its low cost, easy scale-up and non-invasive features. The technique itself can be sensitive to all passive electrical properties, such as conductivity, permittivity and permeability. Hence, it has a huge potential to be applied in many applications. Owing to its ill-posed nature and low image resolution, electrical tomography attracts more attention in industrial fields than biomedical fields. In the past decades, there have been many research developments and industrial implementations of electrical tomography; nevertheless, the awareness of this technology in industrial sectors is still one of the biggest limitations for technology implementation. In this paper, the authors have summarized several representative applications that use electrical tomography. Some of the current tomography research activities will also be discussed. This article is part of the themed issue 'Supersensing through industrial process tomography'.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Philos Trans A Math Phys Eng Sci Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2016 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Philos Trans A Math Phys Eng Sci Asunto de la revista: BIOFISICA / ENGENHARIA BIOMEDICA Año: 2016 Tipo del documento: Article País de afiliación: Reino Unido