Inspection of crude oil condition using electronic nose (E-nose)
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 dist...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Penerbit UMP
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/33611/1/Inspection%20of%20crude%20oil%20condition%20using%20electronic%20nose.pdf |
| _version_ | 1825814240527646720 |
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| author | Nur Ain Zarani, Zailani Muhammad Sharfi, Najib Suhaimi, Mohd Daud Mujahid, Mohamad Saiful Nizam, Tajuddin Che Mohd Aizal, Che Mohd |
| author_facet | Nur Ain Zarani, Zailani Muhammad Sharfi, Najib Suhaimi, Mohd Daud Mujahid, Mohamad Saiful Nizam, Tajuddin Che Mohd Aizal, Che Mohd |
| author_sort | Nur Ain Zarani, Zailani |
| collection | UMP |
| description | 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. |
| first_indexed | 2024-03-06T12:55:51Z |
| format | Article |
| id | UMPir33611 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:55:51Z |
| publishDate | 2020 |
| publisher | Penerbit UMP |
| record_format | dspace |
| spelling | UMPir336112022-04-01T07:54:55Z http://umpir.ump.edu.my/id/eprint/33611/ Inspection of crude oil condition using electronic nose (E-nose) Nur Ain Zarani, Zailani Muhammad Sharfi, Najib Suhaimi, Mohd Daud Mujahid, Mohamad Saiful Nizam, Tajuddin Che Mohd Aizal, Che Mohd TK Electrical engineering. Electronics Nuclear engineering 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. Penerbit UMP 2020-06 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/33611/1/Inspection%20of%20crude%20oil%20condition%20using%20electronic%20nose.pdf 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) https://doi.org/10.15282/mekatronika.v2i1.6729 https://doi.org/10.15282/mekatronika.v2i1.6729 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Nur Ain Zarani, Zailani Muhammad Sharfi, Najib Suhaimi, Mohd Daud Mujahid, Mohamad Saiful Nizam, Tajuddin Che Mohd Aizal, Che Mohd Inspection of crude oil condition using electronic nose (E-nose) |
| title | Inspection of crude oil condition using electronic nose (E-nose) |
| title_full | Inspection of crude oil condition using electronic nose (E-nose) |
| title_fullStr | Inspection of crude oil condition using electronic nose (E-nose) |
| title_full_unstemmed | Inspection of crude oil condition using electronic nose (E-nose) |
| title_short | Inspection of crude oil condition using electronic nose (E-nose) |
| title_sort | inspection of crude oil condition using electronic nose e nose |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/33611/1/Inspection%20of%20crude%20oil%20condition%20using%20electronic%20nose.pdf |
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