Unsupervised Learning Model of Sparse Filtering Enhanced Using Wasserstein Distance for Intelligent Fault Diagnosis

被引：0
|
作者：
Govind Vashishtha
Rajesh Kumar
机构：
[1] Sant Longowal Institute of Engineering and Technology,Precision Metrology Laboratory, Department of Mechanical Engineering
来源：
Journal of Vibration Engineering & Technologies | 2023年 / 11卷
关键词：
Fault diagnosis; Vibration; Unsupervised learning; Sparse filtering; Wasserstein distance; Clustering;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：2985 / 3002
页数：17
相关论文
共 50 条
  • [1] Unsupervised Learning Model of Sparse Filtering Enhanced Using Wasserstein Distance for Intelligent Fault Diagnosis
    Vashishtha, Govind
    Kumar, Rajesh
    JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES, 2023, 11 (07) : 2985 - 3002
  • [2] Unsupervised feature learning with reconstruction sparse filtering for intelligent fault diagnosis of rotating machinery
    Zhang, Zhiqiang
    Yang, Qingyu
    APPLIED SOFT COMPUTING, 2022, 115
  • [3] Unsupervised feature learning with reconstruction sparse filtering for intelligent fault diagnosis of rotating machinery
    Zhang, Zhiqiang
    Yang, Qingyu
    Applied Soft Computing, 2022, 115
  • [4] Intelligent fault diagnosis using an unsupervised sparse feature learning method
    Cheng, Chun
    Wang, Weiping
    Liu, Haining
    Pecht, Michael
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2020, 31 (09)
  • [5] Lightweight and intelligent model based on enhanced sparse filtering for rotating machine fault diagnosis
    Ling, Yunhan
    Fu, Dianyu
    Jiang, Peng
    Sun, Yong
    Yuan, Chao
    Huang, Dali
    Lu, Jingfeng
    Lu, Siliang
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2024, 46 (05) : 858 - 870
  • [6] Parallel sparse filtering for intelligent fault diagnosis using acoustic signal processing
    Ji, Shanshan
    Han, Baokun
    Zhang, Zongzhen
    Wang, Jinrui
    Lu, Bo
    Yang, Jiawei
    Jiang, Xingxing
    NEUROCOMPUTING, 2021, 462 : 466 - 477
  • [7] Sparse Filtering Based Intelligent Fault Diagnosis Using IPSO-SVM
    Yang, Yingze
    Xiao, Pengcheng
    Cheng, Yijun
    Zhang, Xiaoyong
    PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017), 2017, : 7388 - 7393
  • [8] General normalized sparse filtering: A novel unsupervised learning method for rotating machinery fault diagnosis
    Zhang, Zongzhen
    Li, Shunming
    Wang, Jinrui
    Xin, Yu
    An, Zenghui
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 124 : 596 - 612
  • [9] Adaptive multispace adjustable sparse filtering: A sparse feature learning method for intelligent fault diagnosis of rotating machinery
    Zhang, Guowei
    Kong, Xianguang
    Du, Jingli
    Wang, Jinrui
    Yang, Shengkang
    Ma, Hongbo
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 120
  • [10] Unsupervised domain adaptation of bearing fault diagnosis based on Join Sliced Wasserstein Distance
    Chen, Pengfei
    Zhao, Rongzhen
    He, Tianjing
    Wei, Kongyuan
    Yang, Qidong
    ISA TRANSACTIONS, 2022, 129 : 504 - 519
12345