摘要
对152QMI单缸汽油机进行噪声及振动以及曲轴转角等信号的采集,在LMS Test.Lab软件中利用频谱分析和小波变换计算得出了该单缸汽油机噪声能量的主要分布范围,并以此作为噪声源识别的对象,利用阶次分析和小波变换筛选出该机噪声信号中频率不随转速变化的共振因素,随后在角度域内对信号进行小波变换,结合发动机配气机构等部件的运动特征研究识别相对于各频率带的发动机噪声源。研究结果表明,该发动机主要噪声频率带为800 Hz以下、2 000 Hz和4 000 Hz^5 000 Hz,各频率带噪声源分别为进排气噪声、缸盖共振和顶杆对摇臂的冲击以及气门落座冲击。
Noise signals,vibration signals and crank angle signal of 152 QMI single cylinder engine were collected.The main distribution ranges of the single cylinder engine noise energy were calculated through spectrum analysis and wavelet transforms,using a module of the software LMS Test. Lab. The engine noise signals whose frequency does not change with speed resonance were screened out with order analysis and wavelet analysis. Then the signals were processed with wavelet analysis in angle domain. Considering the motion characteristics of valve- train,the engine noise sources of each frequency band were identified. Research results show that the bands of 0 ～ 800 Hz,2 000 Hz,4 000 Hz ～ 5 000 Hz were the main noise frequency bands of this gasoline engine; the air inflow and exhaust noise,cylinder head cover resonance and the impact of the rocker arm and valve seat were identified to be the physical cause of each frequency band.
出处
《机械科学与技术》
CSCD
北大核心
2016年第9期1396-1401,共6页
Mechanical Science and Technology for Aerospace Engineering
关键词
单缸汽油机
噪声源识别
频谱分析
小波变换
single cylinder gasoline engine
noise source identification
spectrum analysis
wavelet transforms
作者简介
林漫群（1972-），高级工程师，博士，研究方向为内燃机清洁燃烧与排放后处理技术、振动噪声控制和性能提升，mmlin@tju．edu．cn
