高速列车透射噪声与结构噪声的分离
High speed train transmission noise and structural noise separation
查看参考文献18篇
文摘
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高速列车噪声是影响车内旅客舒适度和铁路沿线居民生活质量的重要因素,如何有效的降低噪声是高速列车设计者们所关心的问题之一。研究表明,高速列车的车内噪声由透射噪声与结构噪声组成,如何有效的从车内噪声中分离出这两种噪声成分将为列车的减振降噪设计提供一定的指导作用。本文以高速列车实车噪声数据为研究对象,首先运用多种数字信号处理的方法对高速列车噪声数据进行了分析,总结了高速列车噪声的主要特点;然后通过对列车静止时和运行时的噪声透射情形分别进行建模和分析,指出可以利用车体的频响特性作为反映车体隔声性能的声学参数,并提出了一种计算频响特性的简便算法;最后,利用该算法从实车噪声数据中计算出了车体的频响特性,并在此基础上实现了透射噪声与结构噪声的分离. |
其他语种文摘
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High speed train noise level is an important factor with respect to passenger comfort and life quality of residents along the railway. How to attenuate the noise level is an important research direction that train designers care about. Studies show that train interior noise is consist of transmission noise and structural noise. Separating these two kinds of components from their overall observations will provide further guide to high speed train noise reduction design. The research is based on the real-world high speed train noise data. First, data are analyzed by different digital signal processing methods and some basic properties of the train noise signal are concluded. Then, by modeling and analyzing the noise transmission circumstances when train is stationary and moving, train body frequency response is used to measure the noise insulation quality, and an algorithm is proposed to calculate the frequency response conveniently. At last, train body frequency response is calculated according to the real-world train noise data via the proposed algorithm, and the result is used to separate transmission noise and structural noise from the recorded noise data. |
来源
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北京交通大学学报. 自然科学版
,2013,37(5):143-150 【扩展库】
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关键词
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高速列车
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噪声
;
频响特性
;
噪声分离
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地址
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1.
北京交通大学, 交通数据分析与挖掘北京市重点实验室, 北京, 100044
2.
中国科学院力学研究所, 北京, 100190
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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1673-0291 |
学科
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一般工业技术;铁路运输 |
基金
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中央高校基本科研业务费专项资金
;
河北省教育厅项目
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文献收藏号
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CSCD:4956962
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参考文献 共
18
共1页
|
1.
张曙光. 350 km·h~(-1)高速列车噪声机理、声源识别及控制.
中国铁道科学,2009,30(1):86-90
|
CSCD被引
35
次
|
|
|
|
2.
Melleta C. High speed train noise emission: Latest investigation of the aerodynamic/rolling noise contribution.
Journal of Sound and Vibration,2006,293(3):535-546
|
CSCD被引
71
次
|
|
|
|
3.
范蓉平. 高速列车车内噪声特性研究.
振动工程学报,2004,z2:1097-1100
|
CSCD被引
1
次
|
|
|
|
4.
张伟. 高速列车车内噪声声品质客观评价分析.
铁道学报,2011,33(2):13-19
|
CSCD被引
23
次
|
|
|
|
5.
苗新芳. 高速列车车内噪声分析与控制方法.
化学工程与装备,2010(4):202-203
|
CSCD被引
1
次
|
|
|
|
6.
盛美萍.
振动与噪声控制技术,2012
|
CSCD被引
1
次
|
|
|
|
7.
Cai Yangsheng. The summary of techniques on the airborne sound insulation measurement.
International Conference on Electric Technology and Civil Engineering (ICETCE),2011:1785-1788
|
CSCD被引
1
次
|
|
|
|
8.
Na Yueyue. Independent vector analysis using subband and subspace nonlinearity.
EURASIP Journal on Advances in Signal Processing,2013,1(2013):74
|
CSCD被引
1
次
|
|
|
|
9.
Shoji Makino. Blind source separation of convolutive mixtures of speech in frequency domain.
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,2005,E88/A(7):1640-1655
|
CSCD被引
4
次
|
|
|
|
10.
.
Pink noise. Wikipedia,2012
|
CSCD被引
1
次
|
|
|
|
11.
John G Proakis.
Digital signal processing principles, Algorithms, and applications. 4th ed,2010:116-129
|
CSCD被引
1
次
|
|
|
|
12.
周宗潭(译).
独立成分分析,2007
|
CSCD被引
24
次
|
|
|
|
13.
Aapo Hyvarinen. Independent component analysis: Algorithms and applications.
Neural Networks,2000,13(4/5):411-430
|
CSCD被引
494
次
|
|
|
|
14.
Soosan Beheshti. Noisy data and impulse response estimation.
IEEE Transactions on Signal Processing,2010,58(2):510-521
|
CSCD被引
1
次
|
|
|
|
15.
Lawrence R Rabiner. Short-time fourier analysis techniques for FIR system identification and power spectrum estimation.
IEEE Transactions on Acoustics, Speech, and Signal Processing,1979,27(2):182-192
|
CSCD被引
1
次
|
|
|
|
16.
Schoukens J. Nonparametric preprocessing in system identification a powerful tool.
European Journal of Control,2009,15(3):260-274
|
CSCD被引
2
次
|
|
|
|
17.
周新祥.
噪声控制技术及其新进展,2007
|
CSCD被引
15
次
|
|
|
|
18.
Widanalage Dhammika Widanage. Effects of overlapping and windowing on frequency response function estimates of systems with random inputs.
IEEE Transactions on Instrumentation and Measurement,2009,58(1):214-220
|
CSCD被引
1
次
|
|
|
|
|