Serbian Journal of Electrical Engineering 2023 Volume 20, Issue 1, Pages: 33-47
https://doi.org/10.2298/SJEE2301033K
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Sound analysis to diagnosis inner race bearing damage on induction motors using fast fourier transform
Karyatanti Iradiratu Diah Prahmana (Department of Electrical Engineering, Faculty of Engineering and Marine Science, Hang Tuah University, Surabaya, Indonesia + Environmental Science, Postgraduate, Brawijaya University, Malang, Indonesia), iradiratu@hangtuah.ac.id
Purnomo Firsyaldo Rizky (Department of Electrical Engineering, Faculty of Engineering and Marine Science, Hang Tuah University, Surabaya, Indonesia), firsyaldo.rizky@gmail.com
Noersena Ananda (Department of Electrical Engineering, Faculty of Engineering and Marine Science, Hang Tuah University, Surabaya, Indonesia), anandanoersena.08@gmail.com
Zulkifli Rafli Setiawan (Department of Electrical Engineering, Faculty of Engineering and Marine Science, Hang Tuah University, Surabaya, Indonesia), raflisetiawanz@gmail.com
Harahab Nuddin (Environmental Science, Postgraduate, Brawijaya University, Malang, Indonesia), marmunnuddin@ub.ac.id
Wibowo Ratno Bagus Edy (Environmental Science, Postgraduate, Brawijaya University, Malang, Indonesia), rbagus@ub.ac.id
Budiarto Agus (Environmental Science, Postgraduate, Brawijaya University, Malang, Indonesia), agusfpt@ub.ac.id
Wijayanto Ardik (Department of Electronic Engineering, Electronic Engineering Polytechnic Institute of Surabaya, Surabaya, Indonesia), ardik@pens.ac.id
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.
Keywords: Induction motor, Sound frequency, Inner race bearing, Fast Fourier transform
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