Feature Extraction of Bearing Faults based on a Novel Index of Cepstrum

被引:0
作者
Ding, Huazhao [1 ]
Sun, Yongjian [1 ]
Wang, Xiaohong [1 ]
机构
[1] Jinan Univ, Sch Elect Engn, Jinan 250022, Shandong, Peoples R China
来源
2018 37TH CHINESE CONTROL CONFERENCE (CCC) | 2018年
关键词
bearing fault; fault diagnosis; feature extraction; cepstrum;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Bearing is the common component used in modem mechanical equipment, its fault feature extraction is of importance to the safe operation. A new feature extraction index named pseudo distance of cepstrum edge ( PDCE) is proposed in this paper, and the detailed process is discussed. Four principles of determining the diacritical standard is summed up. In order to validate the capability of this new method, 8000 points of vibration data representing four different operational status are adopted, which are all from practical bearing fault experiment. Numerical simulation experiment including a test simulation analysis is carried out, results testify the usability of present index.
引用
收藏
页码:6099 / 6104
页数:6
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