基于信息融合和广义循环互相关熵的电机轴承故障诊断  

Rolling bearing fault diagnosis based on sensor information fusion and generalized cyclic cross correntropy spectrum density

作　　者：李辉 郝如江 LI Hui;HAO Rujiang(School of Mechanical Engineering,Tianjin University of Technology and Education,Tianjin 300222,China;School of Mechanical Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043,China)

机构地区：[1]天津职业技术师范大学机械工程学院,天津300222 [2]石家庄铁道大学机械工程学院,石家庄050043

出　　处：《振动与冲击》2022年第2期200-207,共8页Journal of Vibration and Shock

基　　金：国家自然科学基金(51375319);河北省自然科学基金(E2013421005)。

摘　　要：针对传统基于单路振动信号的故障识别可靠性较差和传统谱相关方法难以有效处理非高斯噪声的问题,该研究提出了一种基于多传感器振动信号信息融合和广义循环互相关熵谱的轴承故障诊断方法。首先推导了广义互相关熵、广义循环互相关熵和广义循环互相关熵谱密度的计算公式;然后给出了电机轴承故障诊断步骤;再利用轴承外圈故障仿真信号,分析了轴承故障振动信号的频谱特征,验证了广义相关熵的降噪性能,结果表明广义循环相关熵能有效处理高斯和非高斯噪声。最后将两路振动信号通过广义循环互相关熵进行融合,并应用于电机轴承故障诊断。试验结果表明,广义循环互相关熵能有效提取电机轴承内圈、外圈局部裂纹故障频谱特征,提高了故障诊断的准确性和可靠性,其性能优于传统的谱相关方法。In the field of fault diagnosis and identification,the reliability of fault feature extraction and recognition based on single sensor vibration signals is rather lower.The traditional spectral correlation density method has poor time-frequency aggregation ability.In order to solve these problems,a bearing fault diagnosis method based on multiple sensors information fusion and generalized cyclic cross correntropy spectrum density was proposed.Firstly,the definitions and calculation formulas of generalized cross correntropy,generalized cyclic cross correntropy and generalized cyclic cross correntropy spectrum density were deduced in detail.Then the de-noising performance of generalized cyclic cross correntropy was analyzed and verified by means of a simulative bearing outer race defect signal,which shows that generalized cyclic cross correntropy can effectively deal with Gaussian and non Gaussian noise.Finally,the generalized cyclic cross correntropy was applied to the fault detection and identification of the motor bearing inner and outer race defects.The experimental results show that the generalized cyclic cross correntropy can effectively extract the fault characteristics of the rolling bearing,and accurately describe the spectral characteristics of bearing defects.The performance of generalized cyclic cross correntropy spectrum density is better than that of the traditional spectral correlation density method.

关 键 词：广义互相关熵 广义循环互相关熵函数 广义循环互相关熵谱密度 循环平稳信号 轴承 故障诊断 

分 类 号：TN911.72[电子电信—通信与信息系统] TH133.33[电子电信—信息与通信工程]