摘要
以SKF6205-2RS深沟球轴承为研究对象,运用Hertzian接触理论、弹性力学及滚动轴承几何学,建立了可预测滚动轴承不同损伤位置和程度的状态模型,并通过Runge-Kutta数值方法获取了系统响应。计算结果表明:径向负荷作用下,模型对内圈、外圈、钢球局部损伤所激励的频率及其谐波成分可进行良好预测;阐述不同状态下轴承振动规律,论证连续Haar小波变换周期性;利用连续Haar小波变换在时间-尺度域上所特有的周期性结合自相关消噪,提出了一种滚动轴承早期损伤特征提取的自相关连续Haar小波方法。诊断实例证明,这种方法能够有效消除信号的噪声,提取信号的弱冲击成分。
The state models of the SKF6205-2RS deep groove ball bearing are set to predict the location and degree of its damage based on the Hertzian contact deformation theory,elastic theory and the geometry of the rolling bearing.Next,the system response is obtained using the Runge-Kutta numerical method.The calculation results prove that the frequency and harmonic components of the local damages of the inner ring,outer ring and ball under radial loads are well predicted.Moreover,the bearing vibration laws under different conditions are introduced to prove the periodicity of the continuous Haar wavelet transform.Finally,an autocorrelation continuous Haar wavelet method is proposed for early damage signals exacting of rolling bearings.The proposed approach is successfully applied to noise reduction and weak impulse feature extraction of bearing signals.
出处
《振动．测试与诊断》
EI
CSCD
北大核心
2015年第4期784-791,804,共8页
Journal of Vibration,Measurement & Diagnosis
基金
科技部创新基金资助项目(13C26216105730)
陕西省自然科学基础研究计划资助项目(2014JM2-5069)
关键词
滚动轴承
预测模型
连续Haar小波
自相关消噪
弱冲击成分
rolling bearing
prediction model
continuous Haar wavelet
autocorrelation denoising
weak impulse component
