Research on fault diagnosis for bearing of CNC machine tools

被引:0
|
作者
Zhang, Bangcheng [1 ]
Yin, Xiaojing [1 ]
Zhou, Zhijie [2 ]
Zhang, Yuling [3 ]
机构
[1] Changchun Univ Technol, Changchun 130012, Jilin, Peoples R China
[2] Artillery Engn Univ 2, Xian 710025, Shanxi, Peoples R China
[3] Xuzhou Heavy Machinery Co Ltd, Xuzhou 221004, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
CNC Machine Tools; Rolling Bearing; Wavelet Theory; Mechanism Analysis; HILBERT-HUANG TRANSFORM; WAVELET TRANSFORM;
D O I
10.4028/www.scientific.net/AMR.605-607.713
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
For the use of CNC machine tools is more and more extensive, its fault diagnosis research is becoming more and more important. Failure forms are diversified, and fault reasons are very complicated. Once bearing that is an important transmission part is in fault, the machining efficiency will decrease and affect process accuracy, even make the machine work abnormally. This paper presents a deep analysis of bearing failure mechanism using the wavelet analysis method identify its failure, specially the motor and transmission machine bearing, which provides reliable basis for fault diagnosis and forecast.
引用
收藏
页码:713 / +
页数:3
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