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基于独立分量分析的振动信号中工频干扰消除
引用本文:毕新强,郭瑜,李阳,郑华文. 基于独立分量分析的振动信号中工频干扰消除[J]. 昆明理工大学学报(自然科学版), 2009, 34(3): 24-28. DOI: 10.3969/j.issn.1007-855X.2009.03.006
作者姓名:毕新强  郭瑜  李阳  郑华文
作者单位:昆明理工大学,机电工程学院,云南,昆明,650093;昆明理工大学,机电工程学院,云南,昆明,650093;昆明理工大学,机电工程学院,云南,昆明,650093;昆明理工大学,机电工程学院,云南,昆明,650093
基金项目:云南省自然科学基金资助项目 
摘    要:提出了一种采用独立分量分析进行工程信号中工频干扰消除的新方法,可将混入振动信号中的工频干扰信号有效分离.对独立分量分析的基本原理进行简要介绍之后,通过仿真和实际测试对本方法的有效性进行了验证.

关 键 词:旋转机械  工频干扰  独立分量分析

Removal of Power Frequency Disturbance in Vibration Signal Based on Independent Component Analysis
BI Xin-qiang,GUO Yu,LI Yang,ZHENG Hua-wen. Removal of Power Frequency Disturbance in Vibration Signal Based on Independent Component Analysis[J]. Journal of Kunming University of Science and Technology(Natural Science Edition), 2009, 34(3): 24-28. DOI: 10.3969/j.issn.1007-855X.2009.03.006
Authors:BI Xin-qiang  GUO Yu  LI Yang  ZHENG Hua-wen
Affiliation:( Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650093, China)
Abstract:In this paper, a new independent component analysis approach to remove power frequency disturbance (ICA) is proposed, which can remove the power mixed vibration signals effectively. A brief introduction about the theory of ICA is from vibration signals based on frequency disturbance from the also presented. The validity of the proposed approach is verified by a simulation and test resuhs.
Keywords:rotating machinery  power frequency disturbance  independent component analysis
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