摘要
为了确定挖掘机的噪声源,采用声学照相机对挖掘机噪声进行测试,并利用独立分量分析方法对测试噪声信号进行分离研究。根据测试环境存在强烈的背景噪声与回声干扰的特点,建立基于快速固定点独立分量频域复数算法的噪声分离模型,分析得到主要噪声源独立分量的主频率。为找到这些频率对应的零部件,利用Ansys软件对柴油机表面主要零部件进行振型模态分析,并将噪声测试方向上振型模态的共振频率与独立分量主频率进行对比。研究结果表明:利用独立分量频域复数算法能快速有效地分离含背景噪声和回声干扰的噪声信号;通过对比振型模态与独立分量主频率可找到机体、气缸盖、气门室盖等主要表面噪声辐射源。
In order to identify excavator noise sources,an acoustic camera was used to acquire the excavator’s noise signals,and independent component analysis（ICA） was applied to separate tested noise signals.Since there was strong background noise and echoic interference,the noise separation model was built based on fixed-point component analysis arithmetic in frequence domain,principle frequencies were obtained.To find the corresponding parts of these frequencies,modal analysis of major surface parts of the diesel was run in Ansys,and the modal analysis results were compared with principle frequencies.The results show that ICA can effectively separate excavator noise signals of strong background noise and echoic interference,and the surface noise radiation sources such as cylinder block,cylinder head and valve chamber cap are found by comparing component principle frequencies and modal analysis results.
出处
《中南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2012年第9期3426-3430,共5页
Journal of Central South University:Science and Technology
基金
国家高技术研究发展计划("863"计划)项目(2009AA045103)
关键词
挖掘机
独立分量分析
模态分析
卷积混合
excavator
independent component analysis
modal analysis
convolved mixture
