Nur Ain Zarani, Zailani and Muhammad Sharfi, Najib and Suhaimi, Mohd Daud and Mujahid, Mohamad and Saiful Nizam, Tajuddin and Che Mohd Aizal, Che Mohd (2020) Inspection of crude oil condition using electronic nose (E-nose). Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 2 (1). pp. 47-51. ISSN 2637-0883. (Published)
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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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Crude oil, E-nose; CBR; Normalisation; Confusion matrix |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Centre of Excellence: Bio-Aromatic Research Center of Excellence Institute of Postgraduate Studies Faculty of Manufacturing and Mechatronic Engineering Technology |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 01 Apr 2022 07:54 |
| Last Modified: | 01 Apr 2022 07:54 |
| URI: | http://umpir.ump.edu.my/id/eprint/33611 |
| Download Statistic: | View Download Statistics |
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