基于循环统计量分析的滚动轴承故障诊断

Based on Circulation Statistics Analysis of Rolling Bearing Fault Diagnosis

是否能够提前对滚动轴承进行诊断,提早发现故障问题,对整个机械设备,甚至工业生产具有很大帮助。由于轴承自身对称的结构,所以本文通过研究循环平稳信号的处理方法对信号中的特征进行提取。通过对轴承不同类型的故障分别做功率谱、包络谱和循环谱分析,对比分析仿真结果,验证了滚动轴承发生故障时产生的振动具有循环平稳的特性以及理论研究成果地正确性和有效性。

Whether can carry on the diagnosis of rolling bearings in advance, found early failure problem, the whole machinery and equipment, and industrial production has a great help.Because the bearing itself symmetrical structure, so in this article, through research of cycle stationary signal processing method to extract features of signal.Based on bearings of different types of faults respectively do power spectrum, spectral envelope and cyclic spectrum analysis, comparative analysis of simulation results, verify the vibration of rolling bearing failure are characterized by their smooth circulation characteristics and theoretical research results to the correctness and effectiveness.