首页 | 本学科首页   官方微博 | 高级检索  
     

盲卷积分离及其在机械振动信号消噪中的应用研究
引用本文:何清波,孔凡让,朱忠奎,龙潜,刘维来.盲卷积分离及其在机械振动信号消噪中的应用研究[J].振动与冲击,2006,25(2):30-34.
作者姓名:何清波  孔凡让  朱忠奎  龙潜  刘维来
作者单位:1. 中国科学技术大学精密机械与精密仪器系,合肥,230026
2. 苏州大学机电工程学院,苏州,215021
摘    要:盲源分离应用于机械振动信号的预处理中,提供了一个新的处理机制,在机械状态监测和故障诊断中具有一定的价值。本文研究了盲卷积分离的理论,提出了基于限值VQM检验控制准则的盲分离算法,根据机械振动信号的特点探讨了该方法在机械振动信号瞬态成分和噪声卷积混叠信号分离中的应用,有效地提取了瞬态成分,表明了算法的有效性。

关 键 词:盲卷积分离  卷积混叠  限值VQM检验控制准则  机械振动信号  消噪
收稿时间:11 16 2004 12:00AM
修稿时间:12 10 2004 12:00AM

Blind Sources Separation for Convolutive Mixtures and Its Applications in Mechanical Vibration Noise Elimination
He Qingbo,Kong Fanrang,Zhu Zhongkui,Long Qian,Liu Weilai.Blind Sources Separation for Convolutive Mixtures and Its Applications in Mechanical Vibration Noise Elimination[J].Journal of Vibration and Shock,2006,25(2):30-34.
Authors:He Qingbo  Kong Fanrang  Zhu Zhongkui  Long Qian  Liu Weilai
Abstract:Blind Sources Separation (BSS) provides a new alterative for extraction of certain signal components in the signal corrupted by noise, and presents a new method for mechanical fault diagnosis. The basic theories about BSS are reviewed and a BSS algorithm for detection and control criteria based on the VQM threshold is proposed. The effectiveness of the BSS algorithm is verified through extraction of the transients in the signal produced by convolution of transients and noise.
Keywords:blind sources separation  convolution mixtures  detection and control criteria based on the VQM threshold  mechanical vibration signal  noise elimination  
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