Using blind source separation to recover the mechanical fault feature

被引:0
|
作者
Wu, Junbiao
Chen, Jin
Wu, Xing
机构
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
  • [41] Method of adaptive blind source separation based on dynamic fault source number estimation
    Yang, Xiaoyan
    Tang, Yike
    Zhou, Xiong
    Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2013, 33 (02): : 290 - 293
  • [42] Underdetermined Blind Source Separation Using Linear Separation System
    Cermak, Jan
    Smekal, Zdenek
    MULTIMODAL SIGNAL: COGNITIVE AND ALGORITHMIC ISSUES, 2009, 5398 : 300 - +
  • [43] Perceptron Nonlinear Blind Source Separation for Feature Extraction and Image Classification
    Boussema, Mohamed Rached
    Naceur, Mohamed Saber
    Elmannai, Hela
    2012 3RD INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS, 2012, : 259 - 262
  • [44] Algorithm for Nonlinear Blind Source Separation Based on Feature Vector Selection
    Zheng Mao
    Zhang Wenxi
    Zheng Linhua
    2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 5, 2010, : 575 - 578
  • [45] Multivariate Slow Feature Analysis and Decorrelation Filtering for Blind Source Separation
    Ha Quang Minh
    Wiskott, Laurenz
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2013, 22 (07) : 2737 - 2750
  • [46] Feature Extraction of Gearbox Compound Faults Based on Blind Source Separation
    Wang, Xiaowei
    Shi, Linsuo
    Zhang, Wei
    Li, Hui
    MECHATRONICS AND INTELLIGENT MATERIALS II, PTS 1-6, 2012, 490-495 : 1071 - 1075
  • [47] Single channel blind source separation based on ICA feature extraction
    Kong, Wei
    Yang, Bin
    Journal of Harbin Institute of Technology (New Series), 2007, 14 (04) : 518 - 523
  • [48] Undetermined blind source separation and feature extraction of penetration overload signals
    Zhao H.
    Zhang Y.
    Li S.
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2019, 40 (10): : 208 - 218
  • [49] Blind source separation of vibration signals for fault diagnosis of power transformers
    Zheng Jing
    Huang Hai
    Hong Kaixing
    Zhou Jianping
    Liu Jiangmin
    Zhou Yangyang
    PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2014, : 412 - +
  • [50] Empirical mode decomposition for blind separation of modulation fault source signals
    College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
    Zhejiang Daxue Xuebao (Gongxue Ban), 2006, 2 (258-261):