Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K-nearest Neighbor Classifier
In industrial processes electrical motors are serviced after a specific number of hours, even if there is a need for service. This led to the development of early fault diagnostic methods. Paper presents early fault diagnostic method of synchronous motor. This method uses acoustic signals generated...
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| Format: | Article |
| Language: | English |
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Institute of Fundamental Technological Research Polish Academy of Sciences
2014-06-01
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| Series: | Archives of Acoustics |
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| Online Access: | https://acoustics.ippt.pan.pl/index.php/aa/article/view/817 |
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| author | Adam GLOWACZ |
| author_facet | Adam GLOWACZ |
| author_sort | Adam GLOWACZ |
| collection | DOAJ |
| description | In industrial processes electrical motors are serviced after a specific number of hours, even if there is a need for service. This led to the development of early fault diagnostic methods. Paper presents early fault diagnostic method of synchronous motor. This method uses acoustic signals generated by synchronous motor. Plan of study of acoustic signal of synchronous motor was proposed. Two conditions of synchronous motor were analyzed. Studies were carried out for methods of data processing: Line Spectral Frequencies and K-Nearest Neighbor classifier with Minkowski distance. Condition monitoring is useful to protect electric motors and mining equipment. In the future, these studies can be used in other electrical devices. |
| format | Article |
| id | doaj-art-1793700caf96479d8b7115f13d4e1345 |
| institution | OA Journals |
| issn | 0137-5075 2300-262X |
| language | English |
| publishDate | 2014-06-01 |
| publisher | Institute of Fundamental Technological Research Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Acoustics |
| spelling | doaj-art-1793700caf96479d8b7115f13d4e13452025-08-20T02:39:03ZengInstitute of Fundamental Technological Research Polish Academy of SciencesArchives of Acoustics0137-50752300-262X2014-06-0139210.2478/aoa-2014-0022Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K-nearest Neighbor ClassifierAdam GLOWACZ0AGH University of Science and TechnologyIn industrial processes electrical motors are serviced after a specific number of hours, even if there is a need for service. This led to the development of early fault diagnostic methods. Paper presents early fault diagnostic method of synchronous motor. This method uses acoustic signals generated by synchronous motor. Plan of study of acoustic signal of synchronous motor was proposed. Two conditions of synchronous motor were analyzed. Studies were carried out for methods of data processing: Line Spectral Frequencies and K-Nearest Neighbor classifier with Minkowski distance. Condition monitoring is useful to protect electric motors and mining equipment. In the future, these studies can be used in other electrical devices.https://acoustics.ippt.pan.pl/index.php/aa/article/view/817acoustic signalpattern analysissynchronous motordiagnostics. |
| spellingShingle | Adam GLOWACZ Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K-nearest Neighbor Classifier Archives of Acoustics acoustic signal pattern analysis synchronous motor diagnostics. |
| title | Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K-nearest Neighbor Classifier |
| title_full | Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K-nearest Neighbor Classifier |
| title_fullStr | Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K-nearest Neighbor Classifier |
| title_full_unstemmed | Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K-nearest Neighbor Classifier |
| title_short | Diagnostics of Synchronous Motor Based on Analysis of Acoustic Signals with the use of Line Spectral Frequencies and K-nearest Neighbor Classifier |
| title_sort | diagnostics of synchronous motor based on analysis of acoustic signals with the use of line spectral frequencies and k nearest neighbor classifier |
| topic | acoustic signal pattern analysis synchronous motor diagnostics. |
| url | https://acoustics.ippt.pan.pl/index.php/aa/article/view/817 |
| work_keys_str_mv | AT adamglowacz diagnosticsofsynchronousmotorbasedonanalysisofacousticsignalswiththeuseoflinespectralfrequenciesandknearestneighborclassifier |