迭代能量算子机械故障诊断研究

发布时间：2018-01-23 21:59

本文关键词： 多分量解调 Gianfelici模型幅值包络分量平滑瞬时频率机械故障诊断　出处：《中国测试》2016年03期 　论文类型：期刊论文

【摘要】：旋转机械元件的故障振动信号通常为多分量调幅调频信号,针对此类信号的故障特征提取问题,介绍一种基于迭代能量算子的机械故障诊断方法。首先阐述迭代能量算子对多分量信号的各分量信号进行幅值包络提取和平滑瞬时频率估计的基本原理;然后通过仿真试验给出与Hilbert-Huang变换的比较,表明该方法解调精度很高且速度较快;最后给出滚动轴承故障诊断实例,证明基于迭代能量算子的多分量调幅调频信号解调方法能有效地提取机械故障振动信号的故障特征。
[Abstract]:The fault vibration signals of rotating machinery components are usually multi-component AM signals. A mechanical fault diagnosis method based on iterative energy operator is introduced. Firstly, the basic principle of amplitude envelope extraction and smooth instantaneous frequency estimation for each component signal of multi-component signal by iterative energy operator is described. Then the simulation results show that the demodulation accuracy of this method is high and the speed of demodulation is higher than that of Hilbert-Huang transform. Finally, an example of fault diagnosis of rolling bearing is given, and it is proved that the demodulation method of multi-component AM signal based on iterative energy operator can effectively extract the fault characteristics of mechanical fault vibration signal.
【作者单位】：华北电力大学机械工程系;
【基金】：国家自然科学基金项目(51307058)
【分类号】：TH17
【正文快照】： 0引言齿轮、轴承等旋转机械元件发生局部故障时,其振动信号常为多分量调制信号,解调分析常用于此类信号的故障特征提取。目前,常用的解调方法主要分为单分量解调方法和多分量解调方法。其中单分量解调方法主要包括Hilbert变换解调、能量算子解调、平方解调和循环平稳解调等[1-

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