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MISEP盲分离算法在振动信号分析中的应用
引用本文:马艳玲,马建仓,刘琦.MISEP盲分离算法在振动信号分析中的应用[J].机械与电子,2009(6):6-10.
作者姓名:马艳玲  马建仓  刘琦
作者单位:西北工业大学电子信息学院,陕西,西安,710129
摘    要:利用MISEP算法对直升机齿轮箱振动信号的非线性混叠进行了盲源分离,分离出了轴承故障振动信号,并将该方法应用于实际的飞机发动机的振动信号分析,分离结果表明MISEP盲源分离算法是机械故障诊断领域的一个有效的信号处理方法。

关 键 词:盲源分离  功率谱  相似矩阵  非线性混叠  信息极大化

The Application of MISEP Blind Separation Algorithm in Vibration Signals
MA Yan-ling,MA Jian-cang,LIU Qi.The Application of MISEP Blind Separation Algorithm in Vibration Signals[J].Machinery & Electronics,2009(6):6-10.
Authors:MA Yan-ling  MA Jian-cang  LIU Qi
Affiliation:MA Yan-ling,MA Jian-cang,LIU Qi(Institute of Electronic Information,Northwestern Polytechnical University,Xi'an 710129,China)
Abstract:In this paper,the MISEP is mainly made use of separating helicopter gearbox signals in the non-linear mixture.The MISEP can separate the bearing vibration signal effectively from other source signals.As the method applying to the actual aero-engine vibration signal analysis,the method can separate actual chaotic vibration signal from the actual aero-engine vibration signals too.The results show that the MISEP was an effective signal processing method in mechanical faults diagnosis domain.
Keywords:BSS  power spectrum  similar matrix  non-linear mixture  INFOMAX  
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