编码器时间序列重构和CYCBD在滚动轴承故障特征提取中的应用  

Application of encoder time series reconstruction and CYCBD in fault feature extraction of rolling bearing

作　　者：杨新敏 郭瑜[1] 陈鑫 樊家伟 YANG Xin-min;GUO Yu;CHEN Xin;FAN Jia-wei(Faculty of Mechanical and Electrical Engineering,Kunming University of Science and Technology,Kunming 650500,China)

机构地区：[1]昆明理工大学机电工程学院,云南昆明650500

出　　处：《振动工程学报》2024年第9期1616-1624,共9页Journal of Vibration Engineering

基　　金：国家自然科学基金资助项目(52165067);云南省重大科技专项计划资助项目(202002AC080001)。

摘　　要：针对最大二阶循环平稳盲解卷积(CYCBD)算法在轴承故障特征提取中的有效性及计算效率受滤波器长度影响的问题,提出谐波谱峰因子(HSC)作为评价指标自适应确定CYCBD的滤波器长度,通过编码器时间序列重构的方法平衡优化过程的计算效率。根据滚动轴承固有参数计算轴承故障阶次,并根据其设置循环频率;根据故障阶次确定时间序列重构的脉冲数;用中心差分法计算重构后信号的瞬时角速度;采用等步长搜索策略以谐波谱峰因子作为评价指标自适应确定CYCBD的滤波器长度;根据谐波谱峰因子最大时对应的阶次谱揭示滚动轴承故障特征。仿真和试验数据分析结果表明,所提方法能自适应确定滤波器长度,对提高CYCBD算法计算效率有明显效果,适用于滚动轴承故障特征提取。Aiming at the problem that the effectiveness and computation cost of the maximum second-order cyclic stationarity blind deconvolution(CYCBD)algorithm are affected by parameter setting,the crest of the harmonics spectrum(HSC)was used as an evaluation index to determine the length of the CYCBD filter adaptively,and the calculation cost of the optimization process was balanced by the method of encoder time series reconstruction.The bearing fault order is calculated and the cycle frequency is set ac⁃cording to it.The pulse number of time series reconstruction is determined according to the fault order.The central difference meth⁃od(CDM)is used to calculate the instantaneous angular speed(IAS)of the reconstructed signal.The filter length of CYCBD was adaptively selected with the HSC as the evaluation index using the equal-step search strategy.The spectrum corresponding to the maximum HSC is calculated to achieve fault feature extraction.The simulation and experimental data analysis results show that the proposed method can adaptively select the filter length,which has an obvious effect on reducing the cost of the CYCBD algorithm,and is effective for rolling bearing fault feature extraction.

关 键 词：故障诊断 滚动轴承 编码器 最大二阶循环平稳盲解卷积 谐波谱峰因子 

分 类 号：TH165.3[机械工程—机械制造及自动化] TH133.33