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基于单通道算法的内燃机油底壳辐射噪声分离

姚家驰 向阳 李胜杨

噪声与振动控制2016,Vol.36Issue(3):132-136,5.
噪声与振动控制2016,Vol.36Issue(3):132-136,5.DOI:10.3969/j.issn.1006-1335.2016.03.027

基于单通道算法的内燃机油底壳辐射噪声分离

Radiation Noise Separation of the Oil Pan of an Internal Combustion Engine Based on Single Channel Algorithm

姚家驰 1向阳 2李胜杨1

作者信息

  • 1. 武汉理工大学 能源与动力工程学院,武汉 430063
  • 2. 武汉理工大学 船舶动力系统运用技术交通行业重点实验室,武汉 430063
  • 折叠

摘要

Abstract

The noise source of an internal combustion engine is separated and identified. The independent noises obtained are used to provide the basis for the noise reduction, monitoring and diagnosis. In the noise source identification of the internal combustion engine, the combustion noise and the piston knock noise are found to be overlapped in time domain and frequency domains, so that it is very difficult to accurately separate them. Therefore, the internal combustion engine vibration noise is tested in a semi-anechoic room, and the near-field radiation noise of the oil pan of the internal combustion engine is measured. The measurement data is processed by eliminating the trend item and smoothing the average so as to reduce the random error components. Then, the ensemble empirical mode decomposition is used to get the IMF components, and the principal component analysis is adopted to reduce the dimension. Finally, the fast independent component analysis is used for blind source separation, and the continuous wavelet time-frequency analysis method is adopted for identification. It is concluded that by using the single channel algorithm to separate and identify the radiation noise of the oil pan of the internal combustion engine, the independent components obtained are respectively the combustion noise and the piston knock noise of the internal combustion engine.

关键词

声学/内燃机/油底壳/噪声分离/集合经验模态分解/盲源分离

Key words

acoustics/internal combustion engine/oil pan/noise separation/ensemble empirical mode decomposition/blind source separation

分类

能源科技

引用本文复制引用

姚家驰,向阳,李胜杨..基于单通道算法的内燃机油底壳辐射噪声分离[J].噪声与振动控制,2016,36(3):132-136,5.

基金项目

国家自然科学基金资助项目(51279148) (51279148)

噪声与振动控制

OACSCDCSTPCD

1006-1355

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