Dynamic Modeling and Analysis of Rolling Bearing with Compound Fault on Raceway and Rolling Element

被引:29
|
作者
Zhang, Xin [1 ]
Yan, Changfeng [1 ]
Liu, Yaofeng [1 ]
Yan, Pengfei [1 ]
Wang, Yubo [1 ]
Wu, Lixiao [1 ]
机构
[1] Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou 730050, Peoples R China
基金
中国国家自然科学基金;
关键词
BALL-BEARINGS; VIBRATION RESPONSE; ROLLER BEARING; DEFECTS; SINGLE; SYSTEM;
D O I
10.1155/2020/8861899
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Rolling element bearing is a very important part of mechanical equipment and widely used in rotating machinery. Rolling element bearings could appear localized defects during the working condition, which would cause the complex vibration response of bearings. Considering the shaft and bearing pedestal, a 4 degree-of-freedom (DOF) dynamic model of rolling bearing with compound localized fault is established based on time-varying displacement, and the vibration characteristics of rolling bearing with localized faults under different conditions are investigated. The established model is verified by the experimental vibration signals in time domain and frequency domain. The results show that the vibration response of compound fault is the result of the coupling action of a single fault of rolling element and outer race. The influences of compound fault on the vibration signals of the bearing were analyzed under three conditions. With the increasing of radial load, defect size, and rotation speed, the vibration amplitude of bearing would increase correspondently, which would accelerate the failure rate of bearing and reduce the service life of bearing. This model is helpful to analyze the vibration response of the rolling element bearing with single or compound fault.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Dynamic Modeling and Vibration Analysis of Rolling Bearings with Local Fault
    Ma H.
    Li H.-F.
    Yu K.
    Zeng J.
    Dongbei Daxue Xuebao/Journal of Northeastern University, 2020, 41 (03): : 343 - 348
  • [32] Compound fault identification of rolling element bearing based on adaptive resonant frequency band extraction
    Chen, Bin
    Peng, Feiyu
    Wang, Hongyu
    Yu, Yang
    MECHANISM AND MACHINE THEORY, 2020, 154 (154)
  • [33] Cyclic wiener filtering for compound fault diagnosis of an aero-engine rolling element bearing
    Zhang W.
    Ji X.
    Huang J.
    Lou S.
    Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2022, 49 (06): : 139 - 151
  • [34] Finite Element Modeling and Analysis of Rolling Bearing based on Explicit dynamics
    Cui, Jing
    Wang, Huaqing
    Xiao, Fei
    Dong, Zuoyi
    ADVANCED DESIGN AND MANUFACTURING TECHNOLOGY III, PTS 1-4, 2013, 397-400 : 589 - 592
  • [35] Compound fault prediction of rolling bearing using multimedia data
    Sandip Kumar Singh
    Sandeep Kumar
    J. P. Dwivedi
    Multimedia Tools and Applications, 2017, 76 : 18771 - 18788
  • [36] Compound fault prediction of rolling bearing using multimedia data
    Singh, Sandip Kumar
    Kumar, Sandeep
    Dwivedi, J. P.
    MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (18) : 18771 - 18788
  • [37] Application of vibration signature analysis techniques for rolling element bearing fault identification
    Jayaswal, P.
    Verma, S. N.
    AUSTRALIAN JOURNAL OF MECHANICAL ENGINEERING, 2011, 8 (01) : 21 - 36
  • [38] Research on Fault Diagnosis and Application for Rolling Element Bearing Based on Fuzzy Analysis
    Yu, Xiaoguang
    Liu, Jian
    MANUFACTURING PROCESS TECHNOLOGY, PTS 1-5, 2011, 189-193 : 1358 - 1361
  • [39] Fractional Envelope Analysis for Rolling Element Bearing Weak Fault Feature Extraction
    Wang, Jianhong
    Qiao, Liyan
    Ye, Yongqiang
    Chen, YangQuan
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2017, 4 (02) : 353 - 360
  • [40] Fractional Envelope Analysis for Rolling Element Bearing Weak Fault Feature Extraction
    Jianhong Wang
    Liyan Qiao
    Yongqiang Ye
    YangQuan Chen
    IEEE/CAA Journal of Automatica Sinica, 2017, 4 (02) : 353 - 360