基于CEEMDAN和倒频谱方法的圆锥滚子轴承振动信号分析  

Vibration Signal Analysis of Tapered Rolling Bearing Based on CEEMDAN and Cepstrum Method

作　　者：刘敏 叶艳媛[1] 杨清清 彭优 Liu Min;Ye Yanyuan;Yang Qingqing;Peng You(School of Mechatronics and Vehicle Engineering,East China Jiaotong University,Nanchang 330013,China;Jiemu Bearing Group Co.,Ltd.,Quzhou,Zhejiang 324200,China;Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,China)

机构地区：[1]华东交通大学机电与车辆工程学院,南昌330013 [2]捷姆轴承集团有限公司,浙江衢州324200 [3]中国科学院合肥物质科学研究院,合肥230031

出　　处：《机电工程技术》2023年第8期165-170,共6页Mechanical & Electrical Engineering Technology

基　　金：江西省自然科学基金资助项目(20224BAB204041);中国博士后科学基金资助项目(2022M723189)。

摘　　要：圆锥滚子轴承运转过程中,噪声信号往往会夹杂在振动信号中,不利于信号分析。针对此问题,提出一种自适应噪声完备集合经验模态分解(CEEMDAN)与倒频谱相结合的方法对圆锥滚子轴承的振动信号进行分析。通过CEEMDAN算法对振动信号进行分析处理,消除残余辅助噪声,减少噪声信号的影响;采用倒频谱算法对处理后的振动信号进一步提取,分析其周期性信号,得到精确的振动信号频谱图。为验证所提方法的有效性,对某圆锥滚子轴承(30208H)进行实验验证,人为制造滚动体轻、中、重3种不同程度的磨损;采用所提方法对圆锥滚子轴承在正常、轻度磨损、中度磨损和重度磨损4种状态下的振动信号进行分析。结果表明:与单一的倒频谱分析法得到的频谱图相比,利用所提方法处理后的频谱图,圆锥滚子轴承的振动信号特征更加明显,所提方法有利于准确确定圆锥滚子轴承的故障。During the operation of tapered rolling bearings,noise signals are often mixed with vibration signals,which is extremely unfavorable for signal analysis.For this problem,a method combining complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN)and cepstrum is proposed to analyze the vibration signal of tapered rolling bearings.The vibration signal is analyzed and processed by using the CEEMDAN algorithm to eliminate the residual auxiliary noise and reduce the influence of the noise signal;the cepstrum is used to further extract the processed signal,and the periodic signal is analyzed to obtain an accurate vibration signal spectrum.In order to verify the effectiveness of the proposed method,a tapered rolling bearing(30208H)is experimentally verified.The rolling elements are artificially manufactured with three different degrees of wear,light,medium and heavy.The vibration signals of tapered rolling bearings in four states of normal,light wear,moderate wear and heavy wear are analyzed.The results show that compared with the spectrum map obtained by single inverted spectrum analysis,the proposed method is beneficial to accurately determine the fault of conical roller bearing.

关 键 词：圆锥滚子轴承 振动信号分析 CEEMDAN算法 倒频谱分析 

分 类 号：TH133.3[机械工程—机械制造及自动化]