Hazardous Gas Detection using Gas Sensors Arrays and Fuzzy-Based Classification
Rajina R. Mohamed1, M A Mohamed2, Wahidah Hashim3, Abd. Rahim4, M. Syamil Fuad5
1Rajina R. Mohamed, Department of Computing, College of Computing and Informatic, niversity Tenaga Nasional, Malaysia.
2M A Mohamed, Universiti Sultan Zainal Abidin.
3Wahidah Hashim, Institute of Informatics and Computing Energy, University Tenaga Nasional, Malaysia.
4Abd Rahim Ahmad, Department of Computing, College of Computing and Informatic, Niversity Tenaga Nasional, Malaysia.
5M. Syamil Fuad, Institute of Informatics and Computing Energy, University Tenaga Nasional, Malaysia.
Manuscript received on 25 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1883-1888 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B11940882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1194.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents hazardous gas detection using gas sensors arrays and fuzzy-based classification. This research is an automation of hazardous gas detection using electronic nose. Gases surround us could either hazard or benefit our health. Gas detection is an important issue, as humans should not breathe in hazardous gases in order to maintain their health. Hence, there must be an indicator to show the hazardous level of certain gases so that people can avoid and minimize the impact on their health. In this paper, hazardous gas detection is implemented by using gas sensor arrays and fuzzy-based classification. A classification for the electronic nose (e-nose) is developed in order to classify gases and determine the level of hazard of gases. The results found that e-nose system is able to differentiate hazardous level of chosen gases which are LP gas and CO gas.
Keywords: Hazardous Gas, Gas Sensors, Fuzzy Classification.
Scope of the Article: Classification