Analysis of Outer Race Bearing Damage by Calculation of Sound Signal Frequency Based on the FFT Method

This study aims to identify the outer race bearing needed to protect an induction motor from severe damage. Faults are diagnosed using a non-invasive technique through the sound signal from an induction motor. The diagnosis aims to assess the damage to the bearings on the fan or main shaft. Moreove...

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Main Authors: Iradiratu Diah Prahmana Karyatanti, Ananda Noersena, Firsyaldo Rizky Purnomo, Rafli Setiawan Zulkifli, Ardik Wijayanto
Format: Article
Language:English
Published: Taiwan Association of Engineering and Technology Innovation 2023-01-01
Series:International Journal of Engineering and Technology Innovation
Subjects:
Online Access:https://ojs.imeti.org/index.php/IJETI/article/view/9411
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author Iradiratu Diah Prahmana Karyatanti
Ananda Noersena
Firsyaldo Rizky Purnomo
Rafli Setiawan Zulkifli
Ardik Wijayanto
author_facet Iradiratu Diah Prahmana Karyatanti
Ananda Noersena
Firsyaldo Rizky Purnomo
Rafli Setiawan Zulkifli
Ardik Wijayanto
author_sort Iradiratu Diah Prahmana Karyatanti
collection DOAJ
description This study aims to identify the outer race bearing needed to protect an induction motor from severe damage. Faults are diagnosed using a non-invasive technique through the sound signal from an induction motor. The diagnosis aims to assess the damage to the bearings on the fan or main shaft. Moreover, this study discusses the type of damage, loading variations, and the diagnostic accuracy with the damage to the outer race bearing placed on the fan or main shaft rotor. The disturbance detection approach is used to analyze the sound spectrum to identify the harmonic components near the disturbance frequency. The damage frequency characteristics are also calculated to determine the sound spectrum peak value. The results show that the detection is slightly affected by the damage severity and the incorrect placement of the bearings on the rotor shaft. The lowest detection accuracy in testing the outer race bearing damage on the fan shaft is 91.66%. However, the accuracy percentage is 100% with the outer race bearing damage on the main shaft.
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spelling doaj.art-e395162ef8a0483db7ea370a70cc33e92023-06-08T18:07:12ZengTaiwan Association of Engineering and Technology InnovationInternational Journal of Engineering and Technology Innovation2223-53292226-809X2023-01-0113110.46604/ijeti.2023.9411Analysis of Outer Race Bearing Damage by Calculation of Sound Signal Frequency Based on the FFT MethodIradiratu Diah Prahmana Karyatanti0Ananda Noersena1Firsyaldo Rizky Purnomo2Rafli Setiawan Zulkifli3Ardik Wijayanto4Department 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, IndonesiaDepartment of Electrical Engineering, Faculty of Engineering and Marine Science, Hang Tuah University, Surabaya, IndonesiaDepartment of Electronic Engineering, Electronic Engineering Polytechnic Institute of Surabaya, Surabaya, Indonesia This study aims to identify the outer race bearing needed to protect an induction motor from severe damage. Faults are diagnosed using a non-invasive technique through the sound signal from an induction motor. The diagnosis aims to assess the damage to the bearings on the fan or main shaft. Moreover, this study discusses the type of damage, loading variations, and the diagnostic accuracy with the damage to the outer race bearing placed on the fan or main shaft rotor. The disturbance detection approach is used to analyze the sound spectrum to identify the harmonic components near the disturbance frequency. The damage frequency characteristics are also calculated to determine the sound spectrum peak value. The results show that the detection is slightly affected by the damage severity and the incorrect placement of the bearings on the rotor shaft. The lowest detection accuracy in testing the outer race bearing damage on the fan shaft is 91.66%. However, the accuracy percentage is 100% with the outer race bearing damage on the main shaft. https://ojs.imeti.org/index.php/IJETI/article/view/9411bearingsoundfrequenciesFFT
spellingShingle Iradiratu Diah Prahmana Karyatanti
Ananda Noersena
Firsyaldo Rizky Purnomo
Rafli Setiawan Zulkifli
Ardik Wijayanto
Analysis of Outer Race Bearing Damage by Calculation of Sound Signal Frequency Based on the FFT Method
International Journal of Engineering and Technology Innovation
bearing
sound
frequencies
FFT
title Analysis of Outer Race Bearing Damage by Calculation of Sound Signal Frequency Based on the FFT Method
title_full Analysis of Outer Race Bearing Damage by Calculation of Sound Signal Frequency Based on the FFT Method
title_fullStr Analysis of Outer Race Bearing Damage by Calculation of Sound Signal Frequency Based on the FFT Method
title_full_unstemmed Analysis of Outer Race Bearing Damage by Calculation of Sound Signal Frequency Based on the FFT Method
title_short Analysis of Outer Race Bearing Damage by Calculation of Sound Signal Frequency Based on the FFT Method
title_sort analysis of outer race bearing damage by calculation of sound signal frequency based on the fft method
topic bearing
sound
frequencies
FFT
url https://ojs.imeti.org/index.php/IJETI/article/view/9411
work_keys_str_mv AT iradiratudiahprahmanakaryatanti analysisofouterracebearingdamagebycalculationofsoundsignalfrequencybasedonthefftmethod
AT anandanoersena analysisofouterracebearingdamagebycalculationofsoundsignalfrequencybasedonthefftmethod
AT firsyaldorizkypurnomo analysisofouterracebearingdamagebycalculationofsoundsignalfrequencybasedonthefftmethod
AT raflisetiawanzulkifli analysisofouterracebearingdamagebycalculationofsoundsignalfrequencybasedonthefftmethod
AT ardikwijayanto analysisofouterracebearingdamagebycalculationofsoundsignalfrequencybasedonthefftmethod