航空发动机振动信号ICA分离方法的研究

瞿红春; 王涛; 崔秀峰

doi:10.13433/j.cnki.1003-8728.2016.0825

航空发动机振动信号ICA分离方法的研究

doi: 10.13433/j.cnki.1003-8728.2016.0825

1.
中国民航大学航空工程学院, 天津 300300

基金项目:

中国民航大学科研基金项目（05yk08m）与中央高校基本科研业务费（ZXH2010D019）资助

详细信息

作者简介:
瞿红春(1971-),副教授,博士,研究方向为航空发动机故障诊断、航空发动机维修管理,hcqu@cauc.edu.cn

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- 被引次数: 0
出版历程
- 收稿日期: 2014-02-16
- 刊出日期: 2016-08-05

Research on Separation Method of Rotor Vibration Signal Based on Independent Component Analysis

1.
College of Aeronautic Engineering, Civil Aviation University of China, Tianjin 300300, China

摘要

摘要: 研究了基于独立分量分析（independent component analysis,ICA）的发动机转子振动信号分离方法，目的是对转子振动的混叠信号进行分离。首先，研究独立分量分析方法中Infomax方法和FastICA方法对混叠信号的分离效果；然后利用LABVIEW信号采集系统采集转子的振动信号，实现从混叠信号中分离源信号，并分别对转子的不对中和碰摩两种工作状态的转子振动信号进行分离测试，验证了该方法的适用性和有效性。
- 航空发动机 /
- 转子 /
- 振动 /
- 独立分量分析
Abstract: This paper studies the separation of the engine vibration signal based on independent component analysis (independent component analysis, abbreviated as ICA) method, its purpose is to separate the mixed signals of rotor vibration. First of all, two methods of ICA that are about Infomax and FastICA methods are studied on their separation effect of aliasing signal; then, the vibration signal of LABVIEW signal acquisition system collects the rotor, the source signals from the mixed signals are separated by the method; finally, a test on rotor vibration signal of rotor misalignment and rubbing two working states of separation is made to verify the applicability and effectiveness of the method.
- aero-engine /
- rotor /
- vibration /
- ICA

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参考文献(15)

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