Hybrid Model of Rolling-Element Bearing Vibration Signal
The generation of synthetic vibration signals enables the testing of novel machine diagnostic methods without the costly introduction of real failures. One of major goals of vibration-based condition monitoring is the early detection of bearing faults. This paper presents a novel modeling technique...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/13/4819 |
| _version_ | 1797480164784865280 |
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| author | Adam Jablonski |
| author_facet | Adam Jablonski |
| author_sort | Adam Jablonski |
| collection | DOAJ |
| description | The generation of synthetic vibration signals enables the testing of novel machine diagnostic methods without the costly introduction of real failures. One of major goals of vibration-based condition monitoring is the early detection of bearing faults. This paper presents a novel modeling technique based on the combination of the known mechanical properties of a modeled object (phenomenological part) and observation of a real object (behavioral part). The model uses the real pulse response of bearing housing, along with the external instantaneous machine speed profile. The presented method is object-oriented, so it is applicable to a large group of machinery. |
| first_indexed | 2024-03-09T21:56:03Z |
| format | Article |
| id | doaj.art-b9756b267f254fac8284cc4d6face408 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T21:56:03Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-b9756b267f254fac8284cc4d6face4082023-11-23T19:57:49ZengMDPI AGEnergies1996-10732022-06-011513481910.3390/en15134819Hybrid Model of Rolling-Element Bearing Vibration SignalAdam Jablonski0Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, 30-059 Krakow, PolandThe generation of synthetic vibration signals enables the testing of novel machine diagnostic methods without the costly introduction of real failures. One of major goals of vibration-based condition monitoring is the early detection of bearing faults. This paper presents a novel modeling technique based on the combination of the known mechanical properties of a modeled object (phenomenological part) and observation of a real object (behavioral part). The model uses the real pulse response of bearing housing, along with the external instantaneous machine speed profile. The presented method is object-oriented, so it is applicable to a large group of machinery.https://www.mdpi.com/1996-1073/15/13/4819rolling-element bearing modellingcyclo-non-stationary signalbearing diagnosticsenvelope analysisresampling |
| spellingShingle | Adam Jablonski Hybrid Model of Rolling-Element Bearing Vibration Signal Energies rolling-element bearing modelling cyclo-non-stationary signal bearing diagnostics envelope analysis resampling |
| title | Hybrid Model of Rolling-Element Bearing Vibration Signal |
| title_full | Hybrid Model of Rolling-Element Bearing Vibration Signal |
| title_fullStr | Hybrid Model of Rolling-Element Bearing Vibration Signal |
| title_full_unstemmed | Hybrid Model of Rolling-Element Bearing Vibration Signal |
| title_short | Hybrid Model of Rolling-Element Bearing Vibration Signal |
| title_sort | hybrid model of rolling element bearing vibration signal |
| topic | rolling-element bearing modelling cyclo-non-stationary signal bearing diagnostics envelope analysis resampling |
| url | https://www.mdpi.com/1996-1073/15/13/4819 |
| work_keys_str_mv | AT adamjablonski hybridmodelofrollingelementbearingvibrationsignal |