Condition recognition method of rolling bearing based on ensemble empirical mode decomposition sensitive intrinsic mode function selection algorithm

被引:0
|
作者
Wang, Yu-Jing [1 ,2 ]
Kang, Shou-Qiang [2 ]
Zhang, Yun [1 ]
Liu, Xue [2 ]
Jiang, Yi-Cheng [1 ]
Mikulovich, V.I. [3 ]
机构
[1] School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China
[2] School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080, China
[3] Belarusian State University, Minsk 220030, Belarus
关键词
19;
D O I
10.3724/SP.J.1146.2013.00434
中图分类号
学科分类号
摘要
引用
收藏
页码:595 / 600
相关论文
共 50 条
  • [1] Rolling bearing fault degree recognition based on ensemble empirical mode decomposition and support vector regression
    Shen, Changqing
    Hu, Fei
    Zhu, Zhongkui
    Kong, Fanrang
    [J]. MEASUREMENT TECHNOLOGY AND ENGINEERING RESEARCHES IN INDUSTRY, PTS 1-3, 2013, 333-335 : 550 - +
  • [2] Rolling bearing fault feature extraction method based on ensemble empirical mode decomposition and kurtosis criterion
    Hu, Aijun
    Ma, Wanli
    Tang, Guiji
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2012, 32 (11): : 106 - 111
  • [3] Rolling Bearing Fault Diagnosis Based on Improved Complete Ensemble Empirical Mode Decomposition
    Attoui, Issam
    Fergani, Nadir
    Oudjani, Brahim
    Deliou, Adel
    [J]. 2016 4TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING & INFORMATION TECHNOLOGY (CEIT), 2016,
  • [4] The Fault Diagnosis of Rolling Bearing Based on Ensemble Empirical Mode Decomposition and Random Forest
    Qin, Xiwen
    Li, Qiaoling
    Dong, Xiaogang
    Lv, Siqi
    [J]. SHOCK AND VIBRATION, 2017, 2017
  • [5] Fault Diagnosis of Rolling Element Bearing Based on Improved Ensemble Empirical Mode Decomposition
    Yue, Xiaofeng
    Shao, Haihe
    [J]. 2015 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS IHMSC 2015, VOL II, 2015,
  • [6] Fault Diagnosis Using Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Power-Based Intrinsic Mode Function Selection Algorithm
    Han, Hyungseob
    Cho, Sangjin
    Kwon, Sundeok
    Cho, Sang-Bock
    [J]. ELECTRONICS, 2018, 7 (02)
  • [7] 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
    [J]. IAENG International Journal of Computer Science, 2022, 49 (03):
  • [8] Pattern recognition of rolling bearing fault under multiple conditions based on ensemble empirical mode decomposition and singular value decomposition
    Tong, Shuiguang
    Zhang, Yidong
    Xu, Jian
    Cong, Feiyun
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2018, 232 (12) : 2280 - 2296
  • [9] Intrinsic Mode Function feature energy and PCA-based fault recognition method of rolling bearing
    Jiang, Wanlu
    Hu, Haosong
    Zhu, Yong
    Zheng, Zhi
    Kang, Hongzhi
    [J]. Journal of Information and Computational Science, 2015, 12 (02): : 797 - 804
  • [10] Selection of Intrinsic Mode Functions for Epileptic EEG Classification Using Ensemble Empirical Mode Decomposition
    Cura, Ozlem Karabiber
    Akan, Aydin
    Atli, Sibel Kocaaslan
    [J]. 2019 MEDICAL TECHNOLOGIES CONGRESS (TIPTEKNO), 2019, : 106 - 109