Bearing Health Monitoring
Health monitoring of bearings is a widely researched topic and has been attempted by analysing acoustic, thermal and vibration signatures. The methods usually require signal of a healthy bearing to be used as a baseline. This limits their use in practical scenarios. This work proposes a kurtosis bas...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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University of Kragujevac
2016-09-01
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| Series: | Tribology in Industry |
| Subjects: | |
| Online Access: | http://www.tribology.fink.rs/journals/2016/2016-3/3.pdf |
| Summary: | Health monitoring of bearings is a widely researched topic and has been attempted by analysing acoustic, thermal and vibration signatures. The methods usually require signal of a healthy bearing to be used as a baseline. This limits their use in practical scenarios. This work proposes a kurtosis based baseline free method of analysing vibration signals to identify the bearing which has generated a fault. It then reports a detailed study on empirical mode decomposition technique for extracting intrinsic mode functions and suggests a set of steps which are necessary and sufficient for the purpose of bearing health monitoring. Thereafter, it compares a few dominant frequencies with the expected ones based on known bearing dimensions. This process has been shown to be fairly accurate in identifying the location of fault in a bearing. |
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| ISSN: | 0354-8996 2217-7965 |