滑动轴承振动噪声频率特征提取技术研究

Study on frequency feature extraction of vibration and noise of sliding bearing

为提高滑动轴承的故障分析和诊断能力,需要对滑动轴承的滑动轴承振动噪声信号进行频率特征提取,提取滑动轴承振动噪声的频率特征分量,实现故障诊断,提出基于时频联合分析和经验模态分解（EMD）的滑动轴承振动噪声频率特征提取方法。采用匹配滤波检测器进行滑动轴承振动噪声信号的提纯处理,采用固有模态分解方法进行信号的特征分解,提取滑动轴承振动噪声信号的Hilbert谱特征,结合频谱分解方法进行实现振动噪声的频率特征提取,采用信息融合方法进行滑动轴承振动噪声信号的弱关联特征测试,实现振动噪声频率特征提取。仿真结果表明,采用该方法进行滑动轴承振动噪声频率特征提取,能有效分析振动噪声的频率信息,提高滑动轴承的故障检测能力。

In order to improve the ability of fault analysis and diagnosis of sliding bearing,it is necessary to extract the frequency characteristic of vibration noise signal of sliding bearing,extract the frequency characteristic component of vibration noise of sliding bearing,and realize fault diagnosis.Based on the joint time-frequency analysis and empirical mode decomposition(EMD）,the vibration noise frequency feature extraction method of sliding bearing is proposed.The vibration noise signal of sliding bearing is purified by using matched filter detector. The intrinsic mode decomposition method is used to decompose the characteristic of the signal,the Hilbert spectrum feature of the vibration noise signal of sliding bearing is extracted,and the frequency characteristic of vibration noise is extracted by the method of spectrum decomposition.The information fusion method is used to test the weak correlation feature of the vibration and noise signal of sliding bearing,and the vibration and noise frequency feature extraction is realized. The simulation results show that this method is used to extract the vibration noise frequency feature of sliding bearing.The frequency information of vibration and noise can be analyzed effectively and the fault detection ability of sliding bearing can be improved.