Effect of Multiple Factors on Identification and Diagnosis of Skidding Damage in Rolling Bearings under Time-Varying Slip Conditions
Skidding damage mechanism of rolling bearings is not clear, due to the influence of various coupling factors. To solve this problem, it is important to identify and diagnose skidding damage and study the vibration characteristics in rolling bearings. Based on Fast Fourier Transform (FFT) and Discret...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/9/15/3033 |
| _version_ | 1819154977457700864 |
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| author | Junning Li Wuge Chen Jiafan Xue Ka Han Qian Wang |
| author_facet | Junning Li Wuge Chen Jiafan Xue Ka Han Qian Wang |
| author_sort | Junning Li |
| collection | DOAJ |
| description | Skidding damage mechanism of rolling bearings is not clear, due to the influence of various coupling factors. To solve this problem, it is important to identify and diagnose skidding damage and study the vibration characteristics in rolling bearings. Based on Fast Fourier Transform (FFT) and Discrete Wavelet Transform (DWT), vibration signals of rolling bearings are extracted and analyzed, and then the skidding damage of rolling bearings from multiple signals perspectives is identified. The relationship between the variation in the radial load, temperature, slip and the skidding damage of rolling bearings under time-varying slip conditions is analyzed comprehensively, and then the influence of different factors on bearing skidding damage is studied. The integrated analysis of the vibration, load, temperature, slip rate and other multivariate signals information shows the starting time of skidding damage. This research can be conducive to reduce vibration and prolong the life of rolling bearings. |
| first_indexed | 2024-12-22T15:29:39Z |
| format | Article |
| id | doaj.art-fac47e3b08714ecaa1d0e25021b39deb |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-22T15:29:39Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-fac47e3b08714ecaa1d0e25021b39deb2022-12-21T18:21:24ZengMDPI AGApplied Sciences2076-34172019-07-01915303310.3390/app9153033app9153033Effect of Multiple Factors on Identification and Diagnosis of Skidding Damage in Rolling Bearings under Time-Varying Slip ConditionsJunning Li0Wuge Chen1Jiafan Xue2Ka Han3Qian Wang4School of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, ChinaSchool of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, ChinaSchool of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, ChinaSchool of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, ChinaSchool of Mechatronic Engineering, Xi’an Technological University, Xi’an 710021, ChinaSkidding damage mechanism of rolling bearings is not clear, due to the influence of various coupling factors. To solve this problem, it is important to identify and diagnose skidding damage and study the vibration characteristics in rolling bearings. Based on Fast Fourier Transform (FFT) and Discrete Wavelet Transform (DWT), vibration signals of rolling bearings are extracted and analyzed, and then the skidding damage of rolling bearings from multiple signals perspectives is identified. The relationship between the variation in the radial load, temperature, slip and the skidding damage of rolling bearings under time-varying slip conditions is analyzed comprehensively, and then the influence of different factors on bearing skidding damage is studied. The integrated analysis of the vibration, load, temperature, slip rate and other multivariate signals information shows the starting time of skidding damage. This research can be conducive to reduce vibration and prolong the life of rolling bearings.https://www.mdpi.com/2076-3417/9/15/3033rolling bearingskidding damagevibration characteristicsFast Fourier TransformDiscrete Wavelet Transformmultivariate signal |
| spellingShingle | Junning Li Wuge Chen Jiafan Xue Ka Han Qian Wang Effect of Multiple Factors on Identification and Diagnosis of Skidding Damage in Rolling Bearings under Time-Varying Slip Conditions Applied Sciences rolling bearing skidding damage vibration characteristics Fast Fourier Transform Discrete Wavelet Transform multivariate signal |
| title | Effect of Multiple Factors on Identification and Diagnosis of Skidding Damage in Rolling Bearings under Time-Varying Slip Conditions |
| title_full | Effect of Multiple Factors on Identification and Diagnosis of Skidding Damage in Rolling Bearings under Time-Varying Slip Conditions |
| title_fullStr | Effect of Multiple Factors on Identification and Diagnosis of Skidding Damage in Rolling Bearings under Time-Varying Slip Conditions |
| title_full_unstemmed | Effect of Multiple Factors on Identification and Diagnosis of Skidding Damage in Rolling Bearings under Time-Varying Slip Conditions |
| title_short | Effect of Multiple Factors on Identification and Diagnosis of Skidding Damage in Rolling Bearings under Time-Varying Slip Conditions |
| title_sort | effect of multiple factors on identification and diagnosis of skidding damage in rolling bearings under time varying slip conditions |
| topic | rolling bearing skidding damage vibration characteristics Fast Fourier Transform Discrete Wavelet Transform multivariate signal |
| url | https://www.mdpi.com/2076-3417/9/15/3033 |
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