Fault pattern recognition of rolling bearing based on singularity value decomposition and support vector machine

被引：0
|
作者：
School of Communications, Zhejiang Normal University, Jinhua 321019, China [1 ]
机构：
来源：
Nongye Gongcheng Xuebao | 2007年 / 4卷 / 115-119期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Quantitative recognition of rolling element bearing fault through an intelligent model based on support vector regression
    Shen, Changqing
    Hu, Fei
    Liu, Fang
    Zhang, Ao
    Kong, Fanrang
    PROCEEDINGS OF THE 2013 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP), 2013, : 842 - 847
  • [22] Fault Diagnosis of Rolling Bearing Based on Shift Invariant Sparse Feature and Optimized Support Vector Machine
    Yuan, Haodong
    Wu, Nailong
    Chen, Xinyuan
    Wang, Yueying
    MACHINES, 2021, 9 (05)
  • [23] Rolling Bearing Fault Diagnosis Based on Support Vector Machine Optimized by Improved Grey Wolf Algorithm
    Shen, Weijie
    Xiao, Maohua
    Wang, Zhenyu
    Song, Xinmin
    SENSORS, 2023, 23 (14)
  • [24] Rolling element bearing fault diagnosis based on slice spectral correlation density and support vector machine
    Ming, Yang
    Chen, Jin
    Zhendong yu Chongji/Journal of Vibration and Shock, 2010, 29 (01): : 196 - 199
  • [25] A rolling element bearing fault diagnosis approach based on hierarchical fuzzy entropy and support vector machine
    Zhu, Keheng
    Li, Haolin
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2016, 230 (13) : 2314 - 2322
  • [26] Fault classification of rolling bearing based on hypersphere spherical center distance multiclass support vector machine
    Kang, Shouqiang
    Wang, Yujing
    Jiang, Yicheng
    Yang, Guangxue
    Song, Lixin
    Mikulovich, V.I.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2014, 34 (14): : 2319 - 2325
  • [27] Fault Diagnosis of Bearing Based on Fuzzy Support Vector Machine
    Ma, Haodong
    Xiong, Yi
    Fang, Hongzheng
    Gu, Lichao
    2015 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM), 2015,
  • [28] Rolling bearing fault diagnosis with combined convolutional neural networks and support vector machine
    Han, Tian
    Zhang, Longwen
    Yin, Zhongjun
    Tan, Andy C. C.
    MEASUREMENT, 2021, 177
  • [29] Application of support vector machine based on pattern spectrum entropy in fault diagnostics of rolling element bearings
    Hao, Rujiang
    Peng, Zhike
    Feng, Zhipeng
    Chu, Fulei
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2011, 22 (04)
  • [30] Fault Diagnosis of Rolling Bearing based on Variable Mode Decomposition and Multi-Class Relevance Vector Machine
    Li, Huipeng
    Zhou, Fengxing
    Xu, Bo
    Liu, Yi
    Yan, Baokang
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 5954 - 5960
12345