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作 者:刘方[1,2] 侯超强 翟涛涛 滕繁荣 刘永斌[1,2] LIU Fang;HOU Chaoqiang;ZHAI Taotao;TENG Fanrong;LIU Yongbin(School of Electrical Engineering and Automation,Anhui University ,Hefei 230601;National and Local Joint Engineering Laboratory of High Energy Saving Motor&Control Technology,Anhui University,Hefei 230601)
机构地区:[1]安徽大学电气工程与自动化学院,合肥230601 [2]安徽大学高节能电机及控制技术国家地方联合工程实验室,合肥230601
出 处:《声学学报》2022年第6期820-831,共12页Acta Acustica
基 金:国家自然科学基金项目(51875001,52075001)资助。
摘 要:提出了一种自适应多普勒畸变校正方法,以声源移动速度v、初始时刻麦克风与声源横向距离x两个运动学参数为优化变量,以最大化重采样信号的频域统计指标为优化目标,通过参数寻优进行v和x的估计,通过幅值还原和时域插值拟合进行畸变校正。仿真分析结果表明,频谱峭度、频谱偏度、频谱脉冲因子和频谱峰值因子4种统计指标均能准确识别运动学参数,且频谱峭度的抗噪能力最好,临界信噪比达到-3.1 dB。实验分析结果表明,列车故障轴承多普勒畸变声音信号校正后,包络谱故障频率成分及其倍频成分清晰准确,说明多普勒畸变得到有效校正。该方法可基于信号本身实现多普勒畸变信号时频结构的全面校正。An adaptive Doppler distortion correction method is proposed.The two kinematics parameters,the sound source moving speed v and the the distance,x,between the microphone and the sound source at the initial moment,are used as the optimization variables,and the maximized frequency domain statistical index of the resampled signal is the optimization objective.The values of v and x are estimated through parameter optimization,and the distortion correction is performed through amplitude restoration and time-domain interpolation fitting.The simulation analysis results show that the four statistical indicators including the spectral kurtosis,spectral skewness,spectral impulse factor and spectral crest factor can accurately identify the kinematic parameters.The spectral kurtosis has the best antinoise ability,and the critical signal-to-noise ratio reaches-3.1 dB.The experimental analysis results show that after the Doppler distorted sound signal of the faulty train bearing is corrected,the fault frequency component and higher harmonic components of the envelope spectrum are clear and accurate,indicating that the Doppler distortion is well corrected.This method can realize the comprehensive correction of the time-frequency structure of the Doppler distorted signal based on the signal itself.
关 键 词:运动学参数 校正方法 统计指标 畸变校正 故障频率 运动声源 参数寻优 横向距离
分 类 号:U666.7[交通运输工程—船舶及航道工程]
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