Fault diagnosis of rolling element bearing based on ensemble empirical mode decomposition and cross energy operator

被引:0
|
作者
School of Mechanical Engineering, University of Science and Technology Beijing, Beijing [1 ]
100083, China
机构
来源
关键词
D O I
10.13374/j.issn2095-9389.2015.s1.011
中图分类号
学科分类号
摘要
15
引用
收藏
相关论文
共 50 条
  • [11] Rolling Element Bearing Fault Diagnosis using Empirical Mode Decomposition and Hjorth Parameters
    Grover, Chhaya
    Turk, Neelam
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE, 2020, 167 : 1484 - 1494
  • [12] RBFNN Fault Diagnosis Method of Rolling Bearing Based on Improved Ensemble Empirical Mode Decomposition and Singular Value Decomposition
    Zhong, Cheng
    Liu, Yu
    Wang, Jie-Sheng
    Li, Zhong-Feng
    IAENG International Journal of Computer Science, 2022, 49 (03):
  • [13] An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis
    Cheng, Yao
    Wang, Zhiwei
    Chen, Bingyan
    Zhang, Weihua
    Huang, Guanhua
    ISA TRANSACTIONS, 2019, 91 (218-234) : 218 - 234
  • [14] Optimised ensemble empirical mode decomposition with optimised noise parameters and its application to rolling element bearing fault diagnosis
    Zhang, Chao
    Li, Zhixiong
    Chen, Shuai
    Wang, Jianguo
    Zhang, Xiaogang
    INSIGHT, 2016, 58 (09) : 494 - 501
  • [15] Fault diagnosis of planetary gearbox based on complementary ensemble empirical mode decomposition and Teager energy operator
    Wang, Chaoge
    Li, Hongkun
    Yang, Rui
    Hou, Mengfan
    Tang, Daolong
    Ou, Jiayu
    2018 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHONGQING 2018), 2018, : 171 - 175
  • [16] Fault diagnosis of rolling element bearing based on spatiotemporal intrinsic mode decomposition
    Zhang, Yuanxiu
    Li, Zhixing
    Wang, Yangxue
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2024, 238 (13) : 6131 - 6143
  • [17] An improved complementary ensemble empirical mode decomposition method and its application in rolling bearing fault diagnosis
    Gu, Jun
    Peng, Yuxing
    DIGITAL SIGNAL PROCESSING, 2021, 113
  • [18] FEATURE EXTRACTION OF ROLLING BEARING FAULT BASED ON ENSEMBLE EMPIRICAL MODE DECOMPOSITION AND CORRELATION DIMENSION
    Zhao, Lei
    Zhou, Zude
    Yin, Yang
    Chen, Rong
    Liu, Quan
    Wei, Qin
    PROCEEDINGS OF THE ASME 9TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, 2014, VOL 2, 2014,
  • [19] Noise Eliminated Ensemble Empirical Mode Decomposition for Bearing Fault Diagnosis
    Atik Faysal
    Wai Keng Ngui
    M. H. Lim
    Journal of Vibration Engineering & Technologies, 2021, 9 : 2229 - 2245
  • [20] A Deep Domain-Adversarial Transfer Fault Diagnosis Method for Rolling Bearing Based on Ensemble Empirical Mode Decomposition
    Yu, Xiao
    Xia, Bing
    Yang, Shuxin
    Yin, Hongshen
    Wang, Yajie
    Liu, Xiaowen
    JOURNAL OF SENSORS, 2022, 2022