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

页码：358 / 360

页数：3