基于B样条本征时间尺度分解和对角切片谱的轴承故障诊断  

Bearing fault diagnosis based on B-spline intrinsic time-scale decomposition and diagonal slice spectrum

作　　者：钟先友[1,2] 曾良才[2] 赵春华[1] 陈保家[1] 

机构地区：[1]三峡大学水电机械设备设计与维护湖北省重点实验室,宜昌443002 [2]武汉科技大学冶金装备及其控制教育部重点实验室,武汉430081

出　　处：《振动与冲击》2013年第23期201-207,共7页Journal of Vibration and Shock

基　　金：国家自然科学基金资助项目(51075234,51205230)

摘　　要：针对轴承振动信号的非线性、非平稳特征,提出了B样条改进的本征时间尺度分解方法 (B-spline Intrinsic Time-scale Decomposition,BITD)、Teager能量算子和对角切片谱相结合的轴承故障诊断方法。首先采用BITD方法对轴承振动信号进行分解,将其分解为若干个合理旋转(Proper Rotation,PR)分量之和,然后用样本熵和相关系数筛选出最能表征故障信息的PR分量重构信号,对重构信号进行能量算子解调,最后求对角切片谱提取故障特征。仿真信号与轴承故障诊断工程实例的分析验证了该方法的有效性。Aiming at the nonlinear and non-stationary characteristics of a bearing vibration signal, a bearing fault diagnosis method combining B-spline intrinsic time-scale decomposition (BITD), Teager energy operator and diagonal slice spectrum was proposed. With this approach, BITD method, firstly was applied to decompose a vibration signal into a sum of several proper rotation(PR) components. Then, some proper rotation components best representing the fault information were selected to reconstruct a signal using the correlation coefficients and the sample entropy. Furthermore, the reconstructed signal was demodulated with the energy operator. Finally, the reconstructed signal was analyzed with the diagonal slice spectrum to extract the fault characteristics. The effectiveness of the proposed method was verified using simulation signals and engineering examples of bearing fault diagnosis.

关 键 词：本征时间尺度分解 能量算子 对角切片谱 样本熵 

分 类 号：TH113.1[机械工程—机械设计及理论] TN911.7[电子电信—通信与信息系统]