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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| Language: | English |
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Amirkabir University of Technology
2025-03-01
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| Series: | AUT Journal of Electrical Engineering |
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| 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. |
| format | Article |
| id | doaj-art-e2fa854076754a62b660b537f588248a |
| institution | OA Journals |
| issn | 2588-2910 2588-2929 |
| language | English |
| 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 |