基于变分模态分解法和共振解调技术的滚动轴承早期故障检测研究  

Research on Early Failure Detection of Rolling Bearing Based on VMD Method and Resonance Demodulation Technology

作　　者：何凯 廖玉松[1] 张宝霞[1] 王艳[1] 

机构地区：[1]滁州职业技术学院,安徽滁州239000

出　　处：《机械制造》2018年第9期94-96,共3页Machinery

基　　金：安徽省高校学科(专业)拔尖人才学术资助重点项目(编号:gxbjZD51)

摘　　要：针对滚动轴承早期故障信号提取困难的问题,基于变分模态分解法和共振解调技术,对滚动轴承早期故障检测进行研究。采用变分模态分解法对滚动轴承振动信号进行分解,计算各分解分量的峭度值,并选取两个最敏感的固有模态分解分量进行重构,然后利用共振解调技术进行解调分析,采用快速傅里叶变换计算出包络谱图。试验结果表明,应用变分模态分解法与共振解调技术更能准确地判断出滚动轴承的早期故障。Aiming at the difficulty of early extraction of fault signal for rolling bearings, based on VMD method and resonance demodulation technology, the early fault detection of rolling bearings was studied. The VMD method was used to decompose the vibration signal of the rolling bearing and calculate the kurtosis value of each decomposition component while two most sensitive IMFs were selected for reconstruction, and then the resonance demodulation technique was used for demodulation analysis. The FFT was adopted for calculation of the envelope spectrogram. The test results show that the application of VMD method and resonance demodulation technology can more accurately determine the early failure of rolling bearings.

关 键 词：滚动轴承 变分模态分解 共振解调 故障 测试 

分 类 号：TH165.3[机械工程—机械制造及自动化]