会议论文详细信息
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
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.

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