Bearing Fault Diagnostics Based on the Square of the Amplitude Gains Method
The article presents an adaptation of a parametric diagnostic method based on the square of the amplitude gains model, which was tested in experimental studies on bearing damage detection (outer race, inner race, bearing balls damage). The described method is based on the shaft displacement signal a...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/4/2160 |
| _version_ | 1797622607718121472 |
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| author | Rafał Grądzki Błażej Bartoszewicz José Emiliano Martínez |
| author_facet | Rafał Grądzki Błażej Bartoszewicz José Emiliano Martínez |
| author_sort | Rafał Grądzki |
| collection | DOAJ |
| description | The article presents an adaptation of a parametric diagnostic method based on the square of the amplitude gains model, which was tested in experimental studies on bearing damage detection (outer race, inner race, bearing balls damage). The described method is based on the shaft displacement signal analysis, which is affected by vibrations coming from the bearings. The diagnostic model’s parameters are determined by processing the signal from the time domain to the frequency domain in a few steps. Firstly, the recorded signal is divided into two observation periods, next the analytical autocorrelation functions are determined and approximated by a polynomial. Then, the diagnostic thresholds are adopted, and the model parameters are converted into damage maps that are easy to interpret and assess the technical condition of the bearings. The presented method shows the technical condition of bearings in a qualitative way. Depending on the received color damage maps, it is possible to determine their level of wear. <i>Green</i> and <i>blue</i> indicate poor wear or no damage, <i>red</i> indicates increased wear, and <i>black</i> clearly indicates a damaged bearing. |
| first_indexed | 2024-03-11T09:12:44Z |
| format | Article |
| id | doaj.art-268dfd18cbde4d05bf88656f02b14020 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T09:12:44Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-268dfd18cbde4d05bf88656f02b140202023-11-16T18:51:48ZengMDPI AGApplied Sciences2076-34172023-02-01134216010.3390/app13042160Bearing Fault Diagnostics Based on the Square of the Amplitude Gains MethodRafał Grądzki0Błażej Bartoszewicz1José Emiliano Martínez2Faculty of Mechanical Engineering, Bialystok University of Technology, Wiejska st. 45C, 15-351 Bialystok, PolandFaculty of Mechanical Engineering, Bialystok University of Technology, Wiejska st. 45C, 15-351 Bialystok, PolandDepartment of Engineering Studies for Innovation, Universidad Iberoamericana Ciudad de México, Prol. Paseo de la Reforma 880, CDMX 01219, MexicoThe article presents an adaptation of a parametric diagnostic method based on the square of the amplitude gains model, which was tested in experimental studies on bearing damage detection (outer race, inner race, bearing balls damage). The described method is based on the shaft displacement signal analysis, which is affected by vibrations coming from the bearings. The diagnostic model’s parameters are determined by processing the signal from the time domain to the frequency domain in a few steps. Firstly, the recorded signal is divided into two observation periods, next the analytical autocorrelation functions are determined and approximated by a polynomial. Then, the diagnostic thresholds are adopted, and the model parameters are converted into damage maps that are easy to interpret and assess the technical condition of the bearings. The presented method shows the technical condition of bearings in a qualitative way. Depending on the received color damage maps, it is possible to determine their level of wear. <i>Green</i> and <i>blue</i> indicate poor wear or no damage, <i>red</i> indicates increased wear, and <i>black</i> clearly indicates a damaged bearing.https://www.mdpi.com/2076-3417/13/4/2160bearingbearing outer racebearing inner racediagnostic modeldiagnosticsbearing damage |
| spellingShingle | Rafał Grądzki Błażej Bartoszewicz José Emiliano Martínez Bearing Fault Diagnostics Based on the Square of the Amplitude Gains Method Applied Sciences bearing bearing outer race bearing inner race diagnostic model diagnostics bearing damage |
| title | Bearing Fault Diagnostics Based on the Square of the Amplitude Gains Method |
| title_full | Bearing Fault Diagnostics Based on the Square of the Amplitude Gains Method |
| title_fullStr | Bearing Fault Diagnostics Based on the Square of the Amplitude Gains Method |
| title_full_unstemmed | Bearing Fault Diagnostics Based on the Square of the Amplitude Gains Method |
| title_short | Bearing Fault Diagnostics Based on the Square of the Amplitude Gains Method |
| title_sort | bearing fault diagnostics based on the square of the amplitude gains method |
| topic | bearing bearing outer race bearing inner race diagnostic model diagnostics bearing damage |
| url | https://www.mdpi.com/2076-3417/13/4/2160 |
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