Inspection of Crude Oil Condition using Electronic Nose (E-Nose)

Authors

  • Nur Ain Zarani Zailani Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang
  • Muhammad Sharfi Najib Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang
  • Suhaimi Mohd Daud Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang
  • Mujahid Mohamad Faculty of Manufacturing and Mechatronic Engineering Technology, Universiti Malaysia Pahang
  • Saiful Nizam Tajuddin Pusat Bioaromatik, Universiti Malaysia Pahang, 26300 Pahang, Malaysia
  • Che Mohd Aizal Che Mohd Pusat Bioaromatik, Universiti Malaysia Pahang, 26300 Pahang, Malaysia

DOI:

https://doi.org/10.15282/mekatronika.v2i1.6729

Keywords:

Crude oil, E-nose, CBR, Normalisation, Confusion matrix

Abstract

Oil and gas production and distribution processes technologies are highly complex and capital-intensive. Crude oil is a high demand commodity in Malaysia and across the world. Physical and chemical properties are used to classify crude oil in oil and gas industries. The human's nose cannot distinguish the difference of smell among various crude oils grade. Conventional approaches to detect odour are expensive and difficult to operate. Due to declining production and increasing demand, using E-nose technologies to inspect the odour condition of crude oil might be a significant change in the industries. The Case-Based Reasoning (CBR) classification method also is utilised in this project to classify crude oil conditions. As a result, all crude oil samples have their odour profile pattern extracted through the normalisation of data. The performance accuracy of the CBR classifier achieved a high rate, which is 99.31% on average. Hence, the using of E-nose and utilising CBR are excellent methods in investigating odour.

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Published

2020-06-07

How to Cite

[1]
N. A. Z. Zailani, M. S. Najib, S. Mohd Daud, M. Mohamad, S. N. . Tajuddin, and . C. M. A. . Che Mohd, “Inspection of Crude Oil Condition using Electronic Nose (E-Nose)”, MEKATRONIKA, vol. 2, no. 1, pp. 47–51, Jun. 2020.

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Original Article

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