独立分量分析在内燃机噪声信号分离中的应用

被引：9

作者：

葛楠

刘月辉

机构：

[1] 天津大学机械工程学院

来源：

天津大学学报 | 2006年 / 04期

关键词：

内燃机; 噪声; 独立分量分析; 小波分析;

D O I：

暂无

中图分类号：

TK402 [设计、计算];

学科分类号：

080703 ;

摘要：

采用独立分量分析的方法进行了内燃机噪声信号分离的研究．建立了基于FastICA算法的常规内燃机噪声独立分量分析模型,为了减少所需传声器个数,在此基础上应用了时序独立分量分析模型．以某四缸柴油机为研究对象,测量了不同工况下的噪声信号,计算了这些噪声信号的统计峰度,确认其为非高斯信号,满足独立分量分析的基本要求．对测得的柴油机噪声信号进行了时序独立分量分析,将其分解为一系列不同的独立分量．采用小波变换的方法对它们进行分析,得到了各独立分量的时频分布,研究结果表明,这些独立分量对应着不同的内燃机噪声源信号．

引用

页码：454 / 457

页数：4

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