Sound analysis to diagnosis inner race bearing damage on induction motors using fast fourier transform
The induction motor is a type of electric machine that is widely used for industrial operations in this modern era. It is an alternating current electric machine with several advantages, namely cheap, simple construction, and not requiring excessive maintenance, but has the biggest percenta...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Technical Sciences in Cacak
2023-01-01
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| Series: | Serbian Journal of Electrical Engineering |
| Subjects: | |
| Online Access: | http://www.doiserbia.nb.rs/img/doi/1451-4869/2023/1451-48692301033K.pdf |
| _version_ | 1811155165221224448 |
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| author | Karyatanti Iradiratu Diah Prahmana Purnomo Firsyaldo Rizky Noersena Ananda Zulkifli Rafli Setiawan Harahab Nuddin Wibowo Ratno Bagus Edy Budiarto Agus Wijayanto Ardik |
| author_facet | Karyatanti Iradiratu Diah Prahmana Purnomo Firsyaldo Rizky Noersena Ananda Zulkifli Rafli Setiawan Harahab Nuddin Wibowo Ratno Bagus Edy Budiarto Agus Wijayanto Ardik |
| author_sort | Karyatanti Iradiratu Diah Prahmana |
| collection | DOAJ |
| description | The induction motor is a type of electric machine that is widely used for
industrial operations in this modern era. It is an alternating current
electric machine with several advantages, namely cheap, simple construction,
and not requiring excessive maintenance, but has the biggest percentage of
motor fault in the bearings. Therefore, this study aims to identify the
inner race-bearing fault detection system based on sound signal frequency
analysis. The sound signal processing was carried out using the Fast Fourier
Transform (FFT) algorithm to analyze the condition of the inner
race-bearing. The sound signal was used because it does not require direct
contact with the bearing (non-invasive). The fault detection system was
tested with two defects, namely scratched inner race and perforated inner
race bearing. The results gave a successful detection of the condition of
the inner race bearing with a percentage of 81.24%. This showed that the
fault detection system using sound signals with FFT signal processing was
carried out with high accuracy. |
| first_indexed | 2024-04-10T04:29:33Z |
| format | Article |
| id | doaj.art-7b5df341ba9941999539703a147fe08e |
| institution | Directory Open Access Journal |
| issn | 1451-4869 2217-7183 |
| language | English |
| last_indexed | 2024-04-10T04:29:33Z |
| publishDate | 2023-01-01 |
| publisher | Faculty of Technical Sciences in Cacak |
| record_format | Article |
| series | Serbian Journal of Electrical Engineering |
| spelling | doaj.art-7b5df341ba9941999539703a147fe08e2023-03-10T08:06:08ZengFaculty of Technical Sciences in CacakSerbian Journal of Electrical Engineering1451-48692217-71832023-01-01201334710.2298/SJEE2301033K1451-48692301033KSound analysis to diagnosis inner race bearing damage on induction motors using fast fourier transformKaryatanti Iradiratu Diah Prahmana0Purnomo Firsyaldo Rizky1Noersena Ananda2Zulkifli Rafli Setiawan3Harahab Nuddin4Wibowo Ratno Bagus Edy5Budiarto Agus6Wijayanto Ardik7Department of Electrical Engineering, Faculty of Engineering and Marine Science, Hang Tuah University, Surabaya, Indonesia + Environmental Science, Postgraduate, Brawijaya University, Malang, IndonesiaDepartment of Electrical Engineering, Faculty of Engineering and Marine Science, Hang Tuah University, Surabaya, IndonesiaDepartment of Electrical Engineering, Faculty of Engineering and Marine Science, Hang Tuah University, Surabaya, IndonesiaDepartment of Electrical Engineering, Faculty of Engineering and Marine Science, Hang Tuah University, Surabaya, IndonesiaEnvironmental Science, Postgraduate, Brawijaya University, Malang, IndonesiaEnvironmental Science, Postgraduate, Brawijaya University, Malang, IndonesiaEnvironmental Science, Postgraduate, Brawijaya University, Malang, IndonesiaDepartment of Electronic Engineering, Electronic Engineering Polytechnic Institute of Surabaya, Surabaya, IndonesiaThe induction motor is a type of electric machine that is widely used for industrial operations in this modern era. It is an alternating current electric machine with several advantages, namely cheap, simple construction, and not requiring excessive maintenance, but has the biggest percentage of motor fault in the bearings. Therefore, this study aims to identify the inner race-bearing fault detection system based on sound signal frequency analysis. The sound signal processing was carried out using the Fast Fourier Transform (FFT) algorithm to analyze the condition of the inner race-bearing. The sound signal was used because it does not require direct contact with the bearing (non-invasive). The fault detection system was tested with two defects, namely scratched inner race and perforated inner race bearing. The results gave a successful detection of the condition of the inner race bearing with a percentage of 81.24%. This showed that the fault detection system using sound signals with FFT signal processing was carried out with high accuracy.http://www.doiserbia.nb.rs/img/doi/1451-4869/2023/1451-48692301033K.pdfinduction motorsound frequencyinner race bearingfast fourier transform |
| spellingShingle | Karyatanti Iradiratu Diah Prahmana Purnomo Firsyaldo Rizky Noersena Ananda Zulkifli Rafli Setiawan Harahab Nuddin Wibowo Ratno Bagus Edy Budiarto Agus Wijayanto Ardik Sound analysis to diagnosis inner race bearing damage on induction motors using fast fourier transform Serbian Journal of Electrical Engineering induction motor sound frequency inner race bearing fast fourier transform |
| title | Sound analysis to diagnosis inner race bearing damage on induction motors using fast fourier transform |
| title_full | Sound analysis to diagnosis inner race bearing damage on induction motors using fast fourier transform |
| title_fullStr | Sound analysis to diagnosis inner race bearing damage on induction motors using fast fourier transform |
| title_full_unstemmed | Sound analysis to diagnosis inner race bearing damage on induction motors using fast fourier transform |
| title_short | Sound analysis to diagnosis inner race bearing damage on induction motors using fast fourier transform |
| title_sort | sound analysis to diagnosis inner race bearing damage on induction motors using fast fourier transform |
| topic | induction motor sound frequency inner race bearing fast fourier transform |
| url | http://www.doiserbia.nb.rs/img/doi/1451-4869/2023/1451-48692301033K.pdf |
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