噪声与振动控制2019，Vol.39Issue(2)：95-99,133,6.DOI:10.3969/j.issn.1006-1355.2019.02.018
小波偏相干分析在内燃机车降噪中的应用
Diesel Locomotive Noise Reduction based on Wavelet Partial-coherence Analysis
隆孝军 1靳行 2李连凯 1陈谢棋 2汪伟奇1
作者信息
- 1. 中车资阳机车有限公司技术中心,四川 资阳 641301
- 2. 西南交通大学 牵引动力国家重点实验室,成都 610031
- 折叠
摘要
Abstract
To solve the problem that the acoustic noise in the driver's cabin of a domestic diesel locomotive is overlarge, the noise source identification method based on wavelet-partial coherence analysis is used to identify the sound source of the diesel locomotive. The driver's ear noise and primary sound source are tested, and the test data is calculated and analyzed in MATLAB using this method. According to the calculation and analysis results, a complete reform program is proposed. The results show that the application of wavelet-based coherence analysis can accurately find the abnormal noise source of diesel locomotives. And the reconstruction measure based on this method can reduce the driver’s ear noise. The effectiveness of the method is verified.关键词
声学/声源识别/小波分析/偏相干分析/内燃机车Key words
acoustics/ noise source identification/ wavelet analysis/ partial-coherence analysis/ diesel locomotive分类
通用工业技术引用本文复制引用
隆孝军,靳行,李连凯,陈谢棋,汪伟奇..小波偏相干分析在内燃机车降噪中的应用[J].噪声与振动控制,2019,39(2):95-99,133,6.
