Air Filter Dust Level Sensing System Using Fuzzy Logic
The conventional air filter dust level checking process needs to manually inspect an air conditioner. This process is dangerous for users because the installation of the air conditioner is high. Hence, this study demonstrates a proposed air filter dust level sensing system that can automatically ins...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Teknikal Malaysia Melaka
2018-10-01
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| Series: | International Journal of Electrical Engineering and Applied Sciences |
| Subjects: | |
| Online Access: | https://ijeeas.utem.edu.my/ijeeas/article/view/4494 |
| _version_ | 1831543463069351936 |
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| author | Zhen Ting Bong Kim Seng Chia Abu Ubaidah Shamsudin |
| author_facet | Zhen Ting Bong Kim Seng Chia Abu Ubaidah Shamsudin |
| author_sort | Zhen Ting Bong |
| collection | DOAJ |
| description | The conventional air filter dust level checking process needs to manually inspect an air conditioner. This process is dangerous for users because the installation of the air conditioner is high. Hence, this study demonstrates a proposed air filter dust level sensing system that can automatically inspect the dust level inspection and reduce the relying on human visual inspection which is subjectively and tedious. The proposed system employs Ohm’s law for sensing the current of the fan motor of an air conditioner, and employs fuzzy logic controller to estimate the dust level. The current of the fan motor would be processed to determine the relationship between the air filter blockage conditions. The finding shows that the current was proportional to the air filter blockage condition. The lowest current value was 0.2742A for no air filter blockage whereas the highest current value was 0.2898A for full air filter blockage. The system contributes to the society for having a better life as the system is promising to be adapted to inform the users about the air filter dust level of their air conditional. |
| first_indexed | 2024-12-17T00:52:37Z |
| format | Article |
| id | doaj.art-d7bba96602bb43169b1a8d8a6a07c0b4 |
| institution | Directory Open Access Journal |
| issn | 2600-7495 2600-9633 |
| language | English |
| last_indexed | 2024-12-17T00:52:37Z |
| publishDate | 2018-10-01 |
| publisher | Penerbit Universiti Teknikal Malaysia Melaka |
| record_format | Article |
| series | International Journal of Electrical Engineering and Applied Sciences |
| spelling | doaj.art-d7bba96602bb43169b1a8d8a6a07c0b42022-12-21T22:09:44ZengPenerbit Universiti Teknikal Malaysia MelakaInternational Journal of Electrical Engineering and Applied Sciences2600-74952600-96332018-10-0112Air Filter Dust Level Sensing System Using Fuzzy LogicZhen Ting Bong0Kim Seng Chia1Abu Ubaidah Shamsudin2Universiti Tun Hussein Onn MalaysiaUniversiti Tun Hussein Onn MalaysiaUniversiti Tun Hussein Onn MalaysiaThe conventional air filter dust level checking process needs to manually inspect an air conditioner. This process is dangerous for users because the installation of the air conditioner is high. Hence, this study demonstrates a proposed air filter dust level sensing system that can automatically inspect the dust level inspection and reduce the relying on human visual inspection which is subjectively and tedious. The proposed system employs Ohm’s law for sensing the current of the fan motor of an air conditioner, and employs fuzzy logic controller to estimate the dust level. The current of the fan motor would be processed to determine the relationship between the air filter blockage conditions. The finding shows that the current was proportional to the air filter blockage condition. The lowest current value was 0.2742A for no air filter blockage whereas the highest current value was 0.2898A for full air filter blockage. The system contributes to the society for having a better life as the system is promising to be adapted to inform the users about the air filter dust level of their air conditional.https://ijeeas.utem.edu.my/ijeeas/article/view/4494dust levelAir filterFuzzy logicCurrentOhm’s law |
| spellingShingle | Zhen Ting Bong Kim Seng Chia Abu Ubaidah Shamsudin Air Filter Dust Level Sensing System Using Fuzzy Logic International Journal of Electrical Engineering and Applied Sciences dust level Air filter Fuzzy logic Current Ohm’s law |
| title | Air Filter Dust Level Sensing System Using Fuzzy Logic |
| title_full | Air Filter Dust Level Sensing System Using Fuzzy Logic |
| title_fullStr | Air Filter Dust Level Sensing System Using Fuzzy Logic |
| title_full_unstemmed | Air Filter Dust Level Sensing System Using Fuzzy Logic |
| title_short | Air Filter Dust Level Sensing System Using Fuzzy Logic |
| title_sort | air filter dust level sensing system using fuzzy logic |
| topic | dust level Air filter Fuzzy logic Current Ohm’s law |
| url | https://ijeeas.utem.edu.my/ijeeas/article/view/4494 |
| work_keys_str_mv | AT zhentingbong airfilterdustlevelsensingsystemusingfuzzylogic AT kimsengchia airfilterdustlevelsensingsystemusingfuzzylogic AT abuubaidahshamsudin airfilterdustlevelsensingsystemusingfuzzylogic |