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Super-sensing through industrial process tomography.

Manuchehr Soleimani1

  • 1Engineering Tomography Lab (ETL), Department of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UK m.soleimani@bath.ac.uk.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|May 18, 2016
PubMed
Summary
This summary is machine-generated.

This article introduces industrial process tomography (IPT) and its connection to super-sensing technologies. It explores various IPT systems, focusing on electrical tomography methods for enhanced industrial monitoring.

Keywords:
electrical tomographyindustrial process tomographysuper-sensing

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Area of Science:

  • Industrial Process Tomography
  • Super-sensing technologies
  • Process monitoring and control

Background:

  • Industrial Process Tomography (IPT) is an emerging field for visualizing internal process conditions.
  • The concept of super-sensing aims to enhance data acquisition and interpretation in industrial settings.
  • There is a need for advanced imaging techniques to improve process understanding and efficiency.

Purpose of the Study:

  • To provide a foundational overview of industrial process tomography.
  • To establish the link between industrial process tomography and the broader concept of super-sensing.
  • To introduce diverse process tomography systems, with a specific focus on electrical tomography methods.

Main Methods:

  • Literature review and conceptual synthesis.
  • Introduction to various industrial process tomography system principles.
  • Detailed explanation of electrical tomography techniques.

Main Results:

  • Established a conceptual framework connecting industrial process tomography with super-sensing.
  • Provided an overview of different industrial process tomography modalities.
  • Highlighted the significance and methodologies of electrical tomography.

Conclusions:

  • Industrial process tomography is a key enabler for super-sensing applications in industry.
  • Electrical tomography methods offer versatile solutions for process visualization.
  • This work serves as an introduction to a themed issue on supersensing through industrial process tomography.