摘要
根据声辐射理论,在测功机上对某150型摩托车进行了噪声声强测试,测出了辐射噪声的分布情况及各部位声功率贡献,准确地进行声源定位.并根据统计最优原理,对原有的声强进行细分,而后对声强的测量误差进行了修正.对比检测结果发现:细分网格后,噪声源识别更准确,噪声声压的检测也比较准确.
According to the acoustic radiation theory, acoustic intensity test of some 150-type motorcycle is done on the measurement of dynamometer, and the distribution of radiation noise and the power contribution of various segments are mensurated to locate noise sources. Based on statistic optimal principle, original acoustic intensity is subdivided and then its measure errors are modified. By comparing testing results, it is found that after the subdivision of grid, the noise source recognition is more accurate, the noise pressure is also quite accurate .
出处
《重庆工学院学报（自然科学版）》
2009年第3期11-14,共4页
Journal of Chongqing Institute of Technology
基金
重庆市重大科技攻关项目(2007AA6006-3)
关键词
摩托车
声强
网格
加权
motorcycle
acoustic intensity
grid
weighting
