基于Teager峰值能量的低转速轴承故障特征提取方法

发布时间：2018-06-22 13:40

  本文选题：低转速轴承 + 故障诊断　； 参考：《振动与冲击》2017年11期

【摘要】：峰值冲击是轴承故障信号中的重要特征之一,明显的峰值冲击有利于其故障诊断,而低转速工况下轴承故障由于振动能量小,峰值冲击微弱,导致故障特征容易被噪声淹没,通常无法通过包络分析等方法提取。为了增强微弱故障信号中的峰值冲击,提取低转速轴承故障特征,提出了基于Teager峰值能量的故障特征提取方法。采用移动窗口截取原信号,计算截取信号段的峰峰值,从而构造峰峰值特征波形,增强故障信号中的峰值冲击;利用Teager能量算子对峰峰值特征波形进行解调,抑制噪声干扰,提取瞬时冲击成分;根据提取的Teager能量频谱判断轴承的运行状态。实验结果表明,该方法有效提取了低转速轴承的冲击特征,实现了故障的诊断。
[Abstract]:Peak impact is one of the important characteristics of bearing fault signal. The obvious peak impact is beneficial to its fault diagnosis. At low speed condition, the bearing fault is easy to be submerged by noise due to low vibration energy and weak peak impact. Usually, it can not be extracted by envelope analysis and other methods. In order to enhance the peak impact of weak fault signal and extract the fault feature of low speed bearing, a method of fault feature extraction based on Teager peak energy is proposed. Using moving window to intercept the original signal, calculate the peak and peak value of the intercepted signal, thus construct the peak characteristic waveform, enhance the peak impact in the fault signal, demodulate the peak characteristic waveform by Teager energy operator, and suppress the noise interference. The instantaneous impact component is extracted and the operating state of the bearing is judged according to the extracted Teager energy spectrum. The experimental results show that the method can effectively extract the impact characteristics of low speed bearings and realize fault diagnosis.
【作者单位】： 北京化工大学机电工程学院;北京化工大学信息科学与技术学院;
【基金】：国家自然科学基金(51675035;51375037;51405012) 牵引动力国家重点实验室开放课题资助(TPL1603)
【分类号】：TH133.3
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本文编号：2053009