首页 | 官方网站   微博 | 高级检索  
     

小波域相关滤波法及其早期故障预示应用
引用本文:李富才,何正嘉,陈进. 小波域相关滤波法及其早期故障预示应用[J]. 振动工程学报, 2005, 18(2): 145-148
作者姓名:李富才  何正嘉  陈进
作者单位:1. 上海交通大学振动、冲击、噪声国家重点实验室,上海,200030
2. 西安交通大学机械工程学院,陕西,西安,710049
基金项目:国家自然科学基金重点资助项目(50335030)
摘    要:噪声是影响机械设备早期故障预示正确性的主要因素。根据相关分析理论和小波阈值降噪理论,提出了小波域相关滤波法。它是一个迭代的过程,通过自适应的选择滤波过程参数,可以对信号进行良好的降噪;同时也不会弱化信号中的弱故障信息。通过对旋转机械早期不平衡和不对中故障信号分析,结果表明小波域相关滤波法对机械设备早期故障预示是有效的。

关 键 词:故障诊断  小波变换  相关滤波  降噪  早期故障预示
文章编号:1004-4523(2005)02-0145-04
修稿时间:2004-05-17

Wavelet transform domain correlation filter and its application in incipient fault prognosis
LI Fu-cai,HE Zheng-jia,CHEN Jin. Wavelet transform domain correlation filter and its application in incipient fault prognosis[J]. Journal of Vibration Engineering, 2005, 18(2): 145-148
Authors:LI Fu-cai  HE Zheng-jia  CHEN Jin
Affiliation:LI Fu-cai~1,HE Zheng-jia~2,CHEN Jin~1
Abstract:Noise is the biggest obstacle that makes the incipient fault prognosis results uncorrected. According to the theories of correlation analysis and threshold de-noising by wavelets, wavelet transform domain correlation filter (WTDCF) is constructed. WTDCF is an iterative process. By selecting the process parameters adaptively, WTDCF can de-noise signal efficiently. More important, the faint component in the signal will become stronger compared with the noise component. WTDCF method is used to analyze the real signals collected from a bearing that has incipient unbalance and misalignment faults. Results show that WTDCF method is effective for bearing incipient fault prognosis.
Keywords:fault diagnosis  wavelet transform  correlation filtering  denoising  incipient fault prognosis
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号