Investigation into the fault diagnosis of rolling bearings based on neural networks

被引：0
|
作者：
Zhu, LB [1 ]
Yan, XZ [1 ]
Xu, FY [1 ]
机构：
[1] Nantong Inst Technol, Jiangsu 226007, Peoples R China
来源：
CONDITION MONITORING '97 | 1997年
关键词：
rolling bearings; neural networks; wavelet transformation; fault diagnosis;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
A new fault diagnosis system is proposed to recognize the faults of rolling bearings in this paper by using the wavelet-based characteristics extracting method and the neural networks technique. The results show that this method is effective for the fault diagnosis of rolling bearings.
引用
收藏
页码：358 / 360
页数：3
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