Optimizing Invasive ECT Sensor Dimensions for Conducting Pipe: A Simulation Study

Authors

  • Ain Eazriena Che Man Faculty of Electrical & Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, Malaysia
  • Yasmin Abdul Wahab Faculty of Electrical & Electronic Engineering Technology (FTKEE) Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang http://orcid.org/0000-0003-2652-8623
  • Nurhafizah Abu Talip Yusof Faculty of Electrical & Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, Malaysia
  • Suzanna Ridzuan Aw Faculty of Engineering Technology (Electrical & Automation) University College TATI, 24000, Jalan Panchor, Telok Kalong, 24000 Kemaman, Terengganu, Malaysia
  • Mohd Mawardi Saari Faculty of Electrical & Electronics Engineering Technology, Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang, Malaysia
  • Ruzairi Abdul Rahim Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat,Johor, Malaysia
  • Sia Yee Yu LOGO Solution Sdn. Bhd., suite 0525, Level 5, Wisma SP Setia, Jalan Indah 15, Bukit Indah, 79100 Iskandar Puteri Johor Malaysia

Keywords:

Conducting pipe, Dielectric, ECT, Invasive, Tomography

Abstract

This simulation study aims to optimize the dimensions of an invasive Electrical Capacitance Tomography (ECT) sensor for conducting pipe applications. Conventional non-invasive ECT techniques are ineffective for conducting pipes, as they cannot penetrate the pipe wall. This study explores the use of an invasive ECT system to identify homogeneous and non-homogeneous dielectric media within conducting pipes. A simulation model is developed using the finite element method (FEM) and the Linear Back Projection (LBP) algorithm for image reconstruction, further enhanced by a global threshold method. Various sensor dimensions are tested in a 150 mm length steel pipe, with a sinusoidal waveform source of 25 Vpp and a frequency of 400 kHz applied to the model in both homogeneous and non-homogeneous dielectric media conditions. The simulation results reveal that the sensitivity and resolution of the invasive ECT system are significantly influenced by the sensor dimensions. Optimal sensor dimensions indicate that longer and wider sensors, covering approximately 80% of the sensor coverage area and 60% of the pipe length, provide higher electrical voltage and better resolution. Overall, this study provides valuable insights into optimizing invasive ECT sensor dimensions for observing dielectric media inside conducting pipes, significantly improving the accuracy and reliability of industrial process monitoring in both homogeneous and non-homogeneous media.

Author Biography

Yasmin Abdul Wahab, Faculty of Electrical & Electronic Engineering Technology (FTKEE) Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pekan, Pahang

Yasmin Abdul Wahab received a B. Eng. (Hons) degree in Electrical Engineering (Control and Instrumentation), M. Eng. and Ph.D. degrees in Electrical Engineering from Universiti Teknologi Malaysia (UTM), Johor, Malaysia, in 2008, 2010, and 2017, respectively. In 2010, she joined Universiti Malaysia Pahang Al-Sultan Abdullah previously known as Univeristi Malaysia Pahang, Pahang, Malaysia, as a teaching staff member and, at present becomes as seniour lecturer. Her research interests include process tomography, electrical tomography, sensor technology and instrumentation, and applied electronics and computer engineering.

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Published

05-01-2025

How to Cite

Che Man, A. E., Wahab, Y. A., Abu Talip Yusof, N., Ridzuan Aw, S., Saari, M. M., Abdul Rahim, R., & Yu, S. Y. (2025). Optimizing Invasive ECT Sensor Dimensions for Conducting Pipe: A Simulation Study. Applications of Modelling and Simulation, 9, 37–50. Retrieved from https://www.ojs.arqiipubl.com/index.php/AMS_Journal/article/view/753

Issue

Vol. 9 (2025)

Section

Articles

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Copyright (c) 2025 Ain Eazriena Che Man, Yasmin Abdul Wahab, Nurhafizah Abu Talip Yusof, Suzanna Ridzuan Aw, Mohd Mawardi Saari, Ruzairi Abdul Rahim, Sia Yee Yu

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