滚动轴承故障综合诊断试验研究

Experimental Study of Rolling Bearing Fault Diagnosis Technology

摘要: 滚动轴承是机械设备中非常重要的部件，如何有效地实施滚动轴承故障诊断是值得深入研究的问题。本文提出轴承分形理论和故障特征频率综合诊断法，通过对轴承振动信号进行分析实现其故障诊断。设计了试验台架和振动测试方案，研制了基于故障特征频率的智能诊断系统。试验结果表明，当滚动轴承出现故障时，振动信号分形维数明显增加，同时综合应用智能诊断系统识别了轴承的故障部位。

Abstract: The rolling bearing is an important part in equipment. It is significant to research the diagnosis technology of the bearing in practical engineering. The combination of fractal diagnosis and characteristic frequency is presented in this paper, and the fault was determined on the basis of analyzing the vibration signal. The experimental structure and measuring program are designed, and an intelligent diagnosis system is finished. Experimental results show that the fractal dimension is increased when the fault occurs, and the fault location is identified by the intelligent diagnosis system.