| 6th Annual International Conference on Material Science and Engineering | |
| The research of multi-information fusion in electrostatic monitoring for rolling bearing | |
| Liu, Ruochen^1 ; Bei, Shaoyi^1 | |
| Department of Traffic and Transportation, Jiangsu University of Technology, School of Automobile and Traffic Engineering, No.1801 ZhongWu Avenue, Changzhou | |
| 213001, China^1 | |
| 关键词: Accelerated life tests; Conventional techniques; Information fusion techniques; Local Outlier Factor; Monitoring signals; Multi-information fusion; Performance degradation; Variable operating condition; | |
| Others : https://iopscience.iop.org/article/10.1088/1757-899X/397/1/012069/pdf DOI : 10.1088/1757-899X/397/1/012069 |
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| 来源: IOP | |
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【 摘 要 】
The monitoring of rolling bearing with electrostatic method is a novel technology at present. Few experiments have been investigated with information fusion technique to improve the efficient of monitoring. This paper introduced a new method called moving window local outlier factor (MWLOF) to process electrostatic monitoring signals of rolling bearing under variable operating conditions. In the load and accelerated life tests, the extracted features can reduce the impact and accurately reflect the wear condition of the bearings compared with traditional features. It can detect weak faults earlier and has a better sensitivity and performance degradation trend than conventional techniques, which has a bright future in industrial application.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| The research of multi-information fusion in electrostatic monitoring for rolling bearing | 536KB |
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