摘要
由于旋转机械常工作于非平稳、高负荷等工况,易出现故障。测试得到的振动信号中包含丰富的设备运行状态信息,对研究旋转机械的非平稳信号非常重要。旋转机械振动加速度信号通常为多源激励响应,其构成成分多、频率结构复杂,是一种典型的多分量信号。经验模式分解可以实现多分量信号的自适应分解,为旋转机械非平稳多分量振动信号时变特征的揭示提供了一种思路。通过结合数值进行仿真分析,总结了经验模式分解的优势、劣势和适用范围,为经验模式分解的使用提供了一定的参考。运用基于经验模式分解的非平稳信号分析方法,分析了电动机转子偏心振动加速度信号,在旋转机械振动非平稳信号的时变特征被准确地表征。
Because rotating machinery often works under non-stationary and high load conditions,it is prone to failure.The tested vibration signal contains rich information about the running status of the equipment,therefore it is necessary to develop the nonstationary signal analysis method for rotating machinery.The vibration acceleration signals of rotating machinery are the response of multi-source excitation,they characterize complicated constituent components and frequency structures,and they are typical multi-component.Empirical mode decomposition can adaptively decompose a multi-component signal,which provides an idea for revealing time-varying characteristics of nonstationary multi-component vibration signals of rotating machinery.In this paper,the advantages and disadvantages of empirical mode decomposition and its applicable scope are summarized based on the numerical simulation analysis,which provides some references for the use of empirical mode decomposition.Finally,the nonstationary signal analysis method based on empirical mode decomposition is used to analyze a rotor eccentric vibration acceleration signal of a motor,which proves its potential in the characterization of nonstationary multi-component vibration signals of rotating machinery.
作者
车文超
张国强
李文凯
Che Wenchao;Zhang Guoqiang;Li Weiikai(School of Mechanical and Electrical Engineering,Weifang Vocational College,Weifang Shandong 262737;Army 95979 of Chinese People's Liberation Army,Xintai Shandong 271207)
出处
《机械管理开发》
2022年第1期63-66,共4页
Mechanical Management and Development
关键词
经验模式分解
旋转机械
振动信号
非平稳工况
empirical mode decomposition
rotating machinery
vibration signals
nonstationary conditions
