Acoustic Fault Diagnosis of Rotor Bearing System
Early diagnosis of failures can prevent financial losses and industry downtime. In this article, the author proposes an early fault diagnosis technique for rotor-bearing faults. The proposed technique is based on the recognition of sound signals. The author measured and analyzed the three states of...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2022/8028599 |
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| _version_ | 1849695585682063360 |
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| author | Yuwei Liu Yuqiang Cheng Zhenzhen Zhang Jianjun Wu |
| author_facet | Yuwei Liu Yuqiang Cheng Zhenzhen Zhang Jianjun Wu |
| author_sort | Yuwei Liu |
| collection | DOAJ |
| description | Early diagnosis of failures can prevent financial losses and industry downtime. In this article, the author proposes an early fault diagnosis technique for rotor-bearing faults. The proposed technique is based on the recognition of sound signals. The author measured and analyzed the three states of the rotor-bearing system: the rotor-bearing system under normal operating conditions, the rotor-bearing system with faulty bearings, and the rotor-bearing system with rotor friction. In this article, an original feature extraction method is described, namely, the 1/3 doubling method (a method of selecting the amplitude of the frequency ratio that is a multiple of 30% of the maximum amplitude). This method is used to form feature vectors. A classification of the obtained vectors was performed by the KNN (K-nearest neighbor classifier), the SVM (support vector machine), and the decision tree. The method is also compared with the Fourier synchrosqueezed transform. The experimental results show that the method can diagnose early faults of rotor-bearing systems simply and quickly and can be used to protect the safe operation of mechanical equipment. |
| format | Article |
| id | doaj-art-d0140d2db20441a89aa46298f2d98a5c |
| institution | DOAJ |
| issn | 1875-9203 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-d0140d2db20441a89aa46298f2d98a5c2025-08-20T03:19:45ZengWileyShock and Vibration1875-92032022-01-01202210.1155/2022/8028599Acoustic Fault Diagnosis of Rotor Bearing SystemYuwei Liu0Yuqiang Cheng1Zhenzhen Zhang2Jianjun Wu3College of Aerospace Science and EngineeringCollege of Aerospace Science and EngineeringXi’an Aerospace Propulsion InstituteCollege of Aerospace Science and EngineeringEarly diagnosis of failures can prevent financial losses and industry downtime. In this article, the author proposes an early fault diagnosis technique for rotor-bearing faults. The proposed technique is based on the recognition of sound signals. The author measured and analyzed the three states of the rotor-bearing system: the rotor-bearing system under normal operating conditions, the rotor-bearing system with faulty bearings, and the rotor-bearing system with rotor friction. In this article, an original feature extraction method is described, namely, the 1/3 doubling method (a method of selecting the amplitude of the frequency ratio that is a multiple of 30% of the maximum amplitude). This method is used to form feature vectors. A classification of the obtained vectors was performed by the KNN (K-nearest neighbor classifier), the SVM (support vector machine), and the decision tree. The method is also compared with the Fourier synchrosqueezed transform. The experimental results show that the method can diagnose early faults of rotor-bearing systems simply and quickly and can be used to protect the safe operation of mechanical equipment.http://dx.doi.org/10.1155/2022/8028599 |
| spellingShingle | Yuwei Liu Yuqiang Cheng Zhenzhen Zhang Jianjun Wu Acoustic Fault Diagnosis of Rotor Bearing System Shock and Vibration |
| title | Acoustic Fault Diagnosis of Rotor Bearing System |
| title_full | Acoustic Fault Diagnosis of Rotor Bearing System |
| title_fullStr | Acoustic Fault Diagnosis of Rotor Bearing System |
| title_full_unstemmed | Acoustic Fault Diagnosis of Rotor Bearing System |
| title_short | Acoustic Fault Diagnosis of Rotor Bearing System |
| title_sort | acoustic fault diagnosis of rotor bearing system |
| url | http://dx.doi.org/10.1155/2022/8028599 |
| work_keys_str_mv | AT yuweiliu acousticfaultdiagnosisofrotorbearingsystem AT yuqiangcheng acousticfaultdiagnosisofrotorbearingsystem AT zhenzhenzhang acousticfaultdiagnosisofrotorbearingsystem AT jianjunwu acousticfaultdiagnosisofrotorbearingsystem |