CAJ | 학술논문

由麦克风采集的运动声源信号存在多普勒畸变现象，这极大的增加了对信号分析的难度，针对这一问题，提出了一种基于能量重心法的多普勒畸变校正方法，并将其应用在列车轴承故障诊断中。首先由基于能量重心法的瞬时频率（IF）估计（IFE）来获取IF向量，在莫尔斯声学理论的基础上，对IF向量进行非线性拟合，进而得到在时域进行重采样的时间间隔序列，再对原信号进行重采样处理，即可实现多普勒畸变的消除。最后做了一个仿真和列车轴承内外圈故障声信号的实验，分析的结果验证了此种方法的有效性。
유맥극풍채집적운동성원신호존재다보륵기변현상，저겁대적증가료대신호분석적난도，침대저일문제，제출료일충기우능량중심법적다보륵기변교정방법，병장기응용재열차축승고장진단중。수선유기우능량중심법적순시빈솔（IF）고계（IFE）래획취IF향량，재막이사성학이론적기출상，대IF향량진행비선성의합，진이득도재시역진행중채양적시간간격서렬，재대원신호진행중채양처리，즉가실현다보륵기변적소제。최후주료일개방진화열차축승내외권고장성신호적실험，분석적결과험증료차충방법적유효성。
The phenomenon of Doppler distortion in the acoustic signal of moving acoustic source acquired with a microphone leads to the difficulty in signal analysis.A Doppler distortion removal method based on energy centrobaric method was proposed to solve the problem,and was applied in the fault diagnosis of train bearings.The instantaneous frequency (IF)estimation (IFE)based on energy centrobaric method was applied to attain the IF vector.According to Morse acoustic theory,the data fitting was then carried out to achieve the fitting of IFs with which the re-sampling sequence was established and taken as the re-sampling vector in time domain.Through resampling,Doppler distortion effect could be removed.A simulation and an experiment with practical acoustic signals of train bearings with defects on outer race and inner race were carried out.The results verified the effectiveness of the proposed method.