Enhancing Bearing Fault Diagnosis in Induction Motors: A Novel Approach Leveraging Synchronized Deviation of Instantaneous Frequency of Voltage and Current

Current-based methods for bearing fault diagnosis primarily rely on analyzing the current signal, leading to challenges in detecting fault frequencies due to their low magnitude amid the noise in the current spectrum. This issue intensifies for weak bearing faults in their early stages. The presence...

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Main Authors: Somaye Nazari, Jamal Moshtagh
Format: Article
Language:English
Published: Amirkabir University of Technology 2025-03-01
Series:AUT Journal of Electrical Engineering
Subjects:
Online Access:https://eej.aut.ac.ir/article_5616_d2cd8dc391368af7c8040dc78742d4d9.pdf
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author Somaye Nazari
Jamal Moshtagh
author_facet Somaye Nazari
Jamal Moshtagh
author_sort Somaye Nazari
collection DOAJ
description Current-based methods for bearing fault diagnosis primarily rely on analyzing the current signal, leading to challenges in detecting fault frequencies due to their low magnitude amid the noise in the current spectrum. This issue intensifies for weak bearing faults in their early stages. The presence of noise components increases the risk of false alarms, as fault characteristics are often obscured in the raw current spectral analysis. To address this, effective bearing fault diagnosis necessitates the reduction of noise components. This paper presents a novel noise cancellation method that enhances the estimation of bearing fault signals in induction motors by utilizing the deviation of instantaneous frequency in synchronized motor voltage and current signals. The proposed method efficiently diagnoses bearing fault characteristic frequencies during spectral analysis. Simulation and experimental results substantiate the effectiveness of this approach in detecting outer/inner raceway and ball-bearing faults.
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institution OA Journals
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publishDate 2025-03-01
publisher Amirkabir University of Technology
record_format Article
series AUT Journal of Electrical Engineering
spelling doaj-art-e2fa854076754a62b660b537f588248a2025-08-20T02:34:56ZengAmirkabir University of TechnologyAUT Journal of Electrical Engineering2588-29102588-29292025-03-0157122123810.22060/eej.2024.23513.56225616Enhancing Bearing Fault Diagnosis in Induction Motors: A Novel Approach Leveraging Synchronized Deviation of Instantaneous Frequency of Voltage and CurrentSomaye Nazari0Jamal Moshtagh1Department of Electrical Engineering, University of Kurdistan, Sanandaj, IranDepartment of Electrical Engineering, University of Kurdistan, Sanandaj, IranCurrent-based methods for bearing fault diagnosis primarily rely on analyzing the current signal, leading to challenges in detecting fault frequencies due to their low magnitude amid the noise in the current spectrum. This issue intensifies for weak bearing faults in their early stages. The presence of noise components increases the risk of false alarms, as fault characteristics are often obscured in the raw current spectral analysis. To address this, effective bearing fault diagnosis necessitates the reduction of noise components. This paper presents a novel noise cancellation method that enhances the estimation of bearing fault signals in induction motors by utilizing the deviation of instantaneous frequency in synchronized motor voltage and current signals. The proposed method efficiently diagnoses bearing fault characteristic frequencies during spectral analysis. Simulation and experimental results substantiate the effectiveness of this approach in detecting outer/inner raceway and ball-bearing faults.https://eej.aut.ac.ir/article_5616_d2cd8dc391368af7c8040dc78742d4d9.pdfbearing fault diagnosisinstantaneous frequencyinduction motornoise reduction
spellingShingle Somaye Nazari
Jamal Moshtagh
Enhancing Bearing Fault Diagnosis in Induction Motors: A Novel Approach Leveraging Synchronized Deviation of Instantaneous Frequency of Voltage and Current
AUT Journal of Electrical Engineering
bearing fault diagnosis
instantaneous frequency
induction motor
noise reduction
title Enhancing Bearing Fault Diagnosis in Induction Motors: A Novel Approach Leveraging Synchronized Deviation of Instantaneous Frequency of Voltage and Current
title_full Enhancing Bearing Fault Diagnosis in Induction Motors: A Novel Approach Leveraging Synchronized Deviation of Instantaneous Frequency of Voltage and Current
title_fullStr Enhancing Bearing Fault Diagnosis in Induction Motors: A Novel Approach Leveraging Synchronized Deviation of Instantaneous Frequency of Voltage and Current
title_full_unstemmed Enhancing Bearing Fault Diagnosis in Induction Motors: A Novel Approach Leveraging Synchronized Deviation of Instantaneous Frequency of Voltage and Current
title_short Enhancing Bearing Fault Diagnosis in Induction Motors: A Novel Approach Leveraging Synchronized Deviation of Instantaneous Frequency of Voltage and Current
title_sort enhancing bearing fault diagnosis in induction motors a novel approach leveraging synchronized deviation of instantaneous frequency of voltage and current
topic bearing fault diagnosis
instantaneous frequency
induction motor
noise reduction
url https://eej.aut.ac.ir/article_5616_d2cd8dc391368af7c8040dc78742d4d9.pdf
work_keys_str_mv AT somayenazari enhancingbearingfaultdiagnosisininductionmotorsanovelapproachleveragingsynchronizeddeviationofinstantaneousfrequencyofvoltageandcurrent
AT jamalmoshtagh enhancingbearingfaultdiagnosisininductionmotorsanovelapproachleveragingsynchronizeddeviationofinstantaneousfrequencyofvoltageandcurrent