Method of fault feature extraction based on EMD sample entropy and LLTSA

被引:0
|
作者
Xiang, Dan [1 ,2 ]
Ge, Shuang [2 ]
机构
[1] School of Automation, Guangdong Polytechnic Normal University, Guangzhou 510635, China
[2] School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China
来源
关键词
Support vector machines - Classification (of information) - Extraction - Computer aided diagnosis - Learning algorithms - Failure analysis - Fault detection - Roller bearings - Signal reconstruction - Biomedical signal processing - Entropy - Feature extraction;
D O I
10.13224/j.cnki.jasp.2014.07.004
中图分类号
学科分类号
摘要
引用
收藏
页码:1535 / 1542
相关论文
共 50 条
  • [41] EEG Feature Extraction Based on Brain Function Network and Sample Entropy
    Luo Zhizeng
    Lu Xianju
    Zhou Ying
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2021, 43 (02) : 412 - 418
  • [42] Fault Diagnosis based on Wavelet Entropy Feature Extraction and Information Fusion
    Vazifeh, MohammadReza
    Abadi, Farzaneh Abbasi Hossein
    2015 2ND INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING ICISCE 2015, 2015, : 234 - 238
  • [43] Rolling Bearing Fault Diagnosis Using Sample Entropy and 1.5 Dimension Spectrum Based on EMD
    Zhong, Xianyou
    Zhao, Chunhua
    Dong, Haijiang
    Liu, Xianming
    Zeng, Liangcai
    ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3, 2013, 278-280 : 1027 - +
  • [44] An improved EMD method based on the multi-objective optimization and its application to fault feature extraction of rolling bearing
    Guo, Tai
    Deng, Zhongmin
    APPLIED ACOUSTICS, 2017, 127 : 46 - 62
  • [45] Feature Extraction Method of Rolling Bearing Fault Signal Based on EEMD and Cloud Model Characteristic Entropy
    Han, Long
    Li, Chengwei
    Liu, Hongchen
    ENTROPY, 2015, 17 (10) : 6683 - 6697
  • [46] Feature extraction for gas metal arc welding based on EMD and time-frequency entropy
    Huang, Yong
    Wang, Kehong
    Zhou, Qi
    Fang, Jimi
    Zhou, Zhilan
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 92 (1-4): : 1439 - 1448
  • [47] The dynamic hydropower troubleshooting information based on EMD multi-scale feature entropy extraction
    Lu, Shibao
    Wei, June
    Bao, Haijun
    Xue, Yangang
    Ye, Weiwei
    INTERNATIONAL JOURNAL OF MOBILE COMMUNICATIONS, 2017, 15 (06) : 677 - 692
  • [48] Fault diagnosis method based on sample quantile permutation entropy
    Dai H.
    Chen Q.
    Dai S.
    Zhu M.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2019, 38 (23): : 152 - 156and170
  • [49] An Effective EMD-based Feature Extraction Method for Boring Chatter Recognition
    Li, Xin
    Mei, Deqing
    Chen, Zichen
    MECHANICAL ENGINEERING AND GREEN MANUFACTURING, PTS 1 AND 2, 2010, : 1058 - 1063
  • [50] Method for Feature Extraction of Radar Full Pulses Based on EMD and Chaos Detection
    Guo, Qiang
    Nan, Pulong
    JOURNAL OF COMMUNICATIONS AND NETWORKS, 2014, 16 (01) : 92 - 97