首页 | 官方网站   微博 | 高级检索  
     

迭代生成微分方程分解方法研究
作者姓名:李康强  冯志鹏
作者单位:北京科技大学机械工程学院,北京,100083;北京科技大学机械工程学院,北京,100083
基金项目:国家自然科学基金资助项目(11272047,51475038)教育部新世纪优秀人才支持计划资助项目(NCET-12-0775)
摘    要:针对实际振动信号中多分量分离问题,在生成微分方程解调技术的基础上,提出一种新的迭代分解方法.首先采用生成微分方程(generating differential equation,GDE),估计初始振动信号的瞬时频率和幅值包络,然后对瞬时频率通过低通滤波分离出第一个频率,基于此频率对原始信号通过高通滤波器后提取的成分作为第一个分量,最后用初始信号减去第一个分量的余值作为下一次迭代的初始值,迭代同样的步骤分析分解直到获取所有信号分量,以低于能量比阈值作为迭代终止条件.本方法不需要先验信息.通过仿真信号验证并与传统方法进行对比分析,证明了方法的有效性.通过实测轴承试验信号的故障分析,证明了方法的实用性. 

关 键 词:多分量  生成微分方程  滤波  迭代
收稿时间:2016-11-12

Decomposition method of iterated generating differential equation
Affiliation:School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
Abstract:Aimed at solving the problem of multi-component separation of actual vibration signals, here a new iterative decomposition method is proposed based on a generating differential equation (GDE) method. The first step is to estimate the instantaneous frequency and amplitude envelope of the original signals using GDE, then the frequency of the first component is obtained using a lowpass filter. Second, the original signal is passed through a high-pass filter to obtain the amplitude of the first component. Finally, the first component is subtracted from the original signal and the residual value, as the new money initial value, is decomposed in the next iteration. Compared with conventional methods, the proposed method is illustrated and verified by the simulation signals. When used for analysis of rolling bearing experimental signals, the results demonstrate that the approach is practical and effective. 
Keywords:
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《》浏览原始摘要信息
点击此处可从《》下载全文
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