嵌入式智能轴承结构分析与振动监测系统设计

RESEARCH ON EMBEDDED SMART BEARING STRUCTURE ANALYSIS AND VIBRATION MONITORING SYSTEM DESIGN

嵌入式智能轴承是轴承集传感器于一体的具有自感知、自诊断、自适应、自调控等特点的结构单元,是国内外高端轴承的发展方向之一。基于Ioannides⁃Harris理论,分析了滚动轴承工作时的载荷分布。结合有限元仿真模型,分析了外圈开槽对轴承可靠度的影响,确定了滚动轴承外圈径向开槽结构。根据理论分析与数值仿真,选择振动传感器与轴承本体有机结合,设计了嵌入式轴承振动监测系统,并利用轴承寿命试验机开展了轴承全寿命实验,采集了不同结构的智能轴承振动信号。实验结果表明,智能轴承振动信号幅值高于传统轴承座监测方式,能有效监测轴承的运行状态;与轴向开槽结构相比,所提智能轴承寿命与普通轴承寿命相差不大,为滚动轴承状态监测与故障诊断提供了新的方法。

Embedded smart bearing is a kind of structural unit with the characteristics of self sensing,self diagnosis,self⁃adaptive and self⁃regulation,which is one of the development directions of high⁃end bearing at home and abroad.Based on Ioannides⁃Harris theory,the load distribution of rolling bearing is analyzed.Combined with the finite element simulation model,the influence of outer ring grooving on bearing reliability is analyzed,and the radial grooving structure of outer ring of rolling bearing is determined.According to the theoretical analysis and numerical simulation,the embedded bearing vibration monitoring system is designed by combining the vibration sensor with the bearing body.By using the bearing life testing machine,the bearing life test is carried out and the vibration signals of smart bearings with different structures are collected.The experimental results show that the amplitude of vibration signal of smart bearing is higher than that of traditional bearing pedestal monitoring method,and it can effectively monitor the running state of the bearing;compared with the structure of axial grooving,the service life of the proposed smart bearing is similar to that of the ordinary bearing,which provides a new method for the condition monitoring and fault diagnosis of the rolling bearing.