首页 | 本学科首页   官方微博 | 高级检索  
     

基于独立分量分析的航空发动机振动信号盲源分离
引用本文:刘秀芳,艾延廷,张宬. 基于独立分量分析的航空发动机振动信号盲源分离[J]. 沈阳航空工业学院学报, 2008, 25(5)
作者姓名:刘秀芳  艾延廷  张宬
作者单位:沈阳航空工业学院工程振动与噪声研究所,辽宁,沈阳,110136
摘    要:
阐述了基于峭度的盲源分离开关算法,对仿真信号进行分离,验证了该算法的可行性.并将该算法与FFT分离法结合,对某型双转子航空发动机高、低压转子实测振动信号进行了盲源分离实践,取得了很好的分离效果,从而为双转子发动机振动监测与故障诊断提供了一种可行的信号处理方法.

关 键 词:航空发动机  盲源分离  峭度  FFT方法

A blind source separation of aero-engine vibration signals on independent component analysis
LIU Xiu-fang,AI Yan-ting,ZHANG Cheng. A blind source separation of aero-engine vibration signals on independent component analysis[J]. Journal of Shenyang Institute of Aeronautical Engineering, 2008, 25(5)
Authors:LIU Xiu-fang  AI Yan-ting  ZHANG Cheng
Affiliation:Engineering Noise and Vibration Research Center;Shenyang Institute of Aeronautical Engineering;Liaoning Shenyang 110136
Abstract:
A blind source separation algorithm based on kurtosis was expounded in this paper.The method was adopted to separate imitating signals,in order to validate the correctness and feasibility of arithmetic.In combination with FFT separation,the blind source separation of the measured vibration signals which come from a high-pressure rotor and a low-pressure rotor of a twin-spool engine.It presents blind source separation techniques,which are proved that the separation is a feasible and effective signal processi...
Keywords:aero-engine  blind source separation  kurtosis  FFT separation  
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