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

针对国内某内燃机车异常噪声导致的司机室耳旁噪声超标问题,将小波偏相干分析的噪声源识别方法引入内燃机车的声源识别中。对驾驶员耳旁噪声及主要声源进行振动与噪声测试,并基于该方法应用MATLAB对测试数据进行计算与分析,根据计算与分析结果提出完整的改造方案。结果表明:应用小波偏相干分析能够准确找到内燃机车异常噪声声源,基于该方法所提出的改造措施使得驾驶员耳旁噪声降低,该方法的有效性得到验证。

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.