人耳听觉模型及EMD在转子轴心轨迹提纯中的应用  

Application of Human Auditory Model and EMD in Purification of Rotor Axis Orbit

作　　者：张延琛 周凯 ZHANG Yanshen;ZHOU Kai(Equipment Fault Diagnosis and Signal Processing,Jinan Cigarette Factory,Jinan 250000)

机构地区：[1]济南卷烟厂,济南250000

出　　处：《现代制造技术与装备》2020年第6期26-29,共4页Modern Manufacturing Technology and Equipment

摘　　要：在转子系统状态监测与诊断中,通过在转子轴系的同一截面上安装两路相互垂直的振动信号合成转子轴心轨迹的形状(但实际采集的振动信号往往含有大量的噪声),从而使转子轴心轨迹形状复杂无法进行自动识别,进而对后续的故障诊断产生影响。通过模拟人耳听觉模型,对采集到的两路信号在时频域内进行降噪、不同频率成分的分离、相位锁相、侧抑制及在高频域段用EMD处理后合成信号,能得到清晰的轴心轨迹。试验验证表明,所提方法可行。同时,试验可以看出,人耳听觉模型在保证信息冗余性的前提下,需要的数据量较少,适用于转子故障特征提取和模式识别。In the condition monitoring and diagnosis of the rotor system,the shape of the track of the Rotor Shaft Center is synthesized by installing two mutually perpendicular vibration signals on the same section of the rotor shaft system,but the vibration signals actually collected often contain a lot of noise,therefore,the shape of the rotor shaft orbit is complex,which can not be automatically identified,and then has an impact on the subsequent fault diagnosis.In this paper,the two signals are de-noised in the time-frequency domain,the different frequency components are separated,the phase is locked,the side is suppressed and the axis track is obtained by EMD processing,the experimental results show that the method adopted in this paper is feasible.At the same time,it can be seen that the human auditory model needs less data under the premise of information redundancy,which is suitable for rotor fault feature extraction and pattern recognition.

关 键 词：人耳听觉 信号分离 轴心轨迹 

分 类 号：TH17[机械工程—机械制造及自动化]