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MISEP盲分离算法在振动信号分析中的应用 被引量：1

The Application of MISEP Blind Separation Algorithm in Vibration Signals
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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. 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 aeroengine vibration signals too. The results show that the MISEP was an effective signal processing method in mechanical faults diagnosis domain.
作者 马艳玲 马建仓 刘琦
机构地区 西北工业大学电子信息学院
出处 《机械与电子》 2009年第6期6-10,共5页 Machinery & Electronics
基金 国家自然科学基金资助项目(60672184)
关键词 盲源分离 功率谱 相似矩阵 非线性混叠 信息极大化 BSS power spectrum similar matrix non - linear mixture INFOMAX
分类号 TN911 [电子电信—通信与信息系统]
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参考文献9

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二级参考文献24

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共引文献45

同被引文献10

  • 1Jiang Yu, Qin Li, Zhang Yuelei, et al. Vibration signal processing for gear fault diagnosis based on empirical mode decomposition and nonlinear blind source separation. Noiseand Vibration Worldwide, 2011 ;42 (10) :55-61.
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  • 6Ypma A, Pajunen P. Rotating machine vibration analysis with sec- ond-order independent component analysis. Proc Workshop on Inde- pendent Component Analysis and Signal Separation ( ICA ' 99 ) . France, ! 999.
  • 7石庆斌,马建仓.盲源分离在机械振动信号分析中的应用[J].测控技术,2008,27(5):78-80. 被引量：9
  • 8毋文峰,陈小虎,苏勋家,王旭平,姚春江.基于峭度的ICA特征提取和齿轮泵故障诊断[J].机械科学与技术,2011,30(9):1583-1587. 被引量：5
  • 9王晓伟,石林锁.自适应非线性BSS及其在齿轮故障诊断中的应用[J].振动与冲击,2012,31(10):45-48. 被引量：3
  • 10陈仲生,杨拥民,沈国际.独立分量分析在直升机齿轮箱故障早期诊断中的应用[J].机械科学与技术,2004,23(4):481-483. 被引量：18

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机械与电子
2009年 第6期

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