Fault Diagnosis of Rotating Machinery Bearings Based on Multi-source Wavelet Transform Neural Network

被引:0
|
作者
Guo, Haiyu [1 ]
Zou, Shenggong [1 ]
Zhang, Xiaoguang [2 ,3 ,4 ]
Lu, Fanfan [2 ]
Chen, Yang [2 ]
Wang, Han [2 ]
Xu, Xinzhi [2 ]
机构
[1] School of Electrical Engineering, Shenyang University of Technology, Shenyang,110870, China
[2] Shanghai Intelligent Quality Technology Co., Ltd., Shanghai,201801, China
[3] School of Computer Science and Technology, University of Science and Technology of China, Hefei,230026, China
[4] Yangtze Delta Information Intelligence Innovation Research Institute, Anhui, Wuhu,241000, China
关键词
28;
D O I
10.3969/j.issn.1004-132X.2024.11.014
中图分类号
学科分类号
摘要
引用
下载
收藏
页码:2026 / 2034
相关论文
共 50 条
  • [1] Fault diagnosis of rotating machinery based on wavelet transforms and Neural Network
    Roztocil, Jan
    Novak, Martin
    2010 INTERNATIONAL CONFERENCE ON APPLIED ELECTRONICS, 2010, : 293 - 298
  • [2] Study on Fault Diagnosis of Rotating Machinery Based on Wavelet Neural Network
    Xu Yangwen
    ITCS: 2009 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND COMPUTER SCIENCE, PROCEEDINGS, VOL 2, PROCEEDINGS, 2009, : 221 - 224
  • [3] Rotating machinery fault diagnosis based on wavelet fuzzy neural network
    Peng, B
    Liu, ZQ
    ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS II, 2005, 187 : 527 - 534
  • [4] Rotating machinery fault diagnosis based on improved wavelet fuzzy neural network
    Peng, B
    Liu, ZQ
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON QUALITY & RELIABILITY, 2005, : 781 - 786
  • [5] Fault detection of rotating machinery based on wavelet transform and improved deep neural network
    Cui, Mingliang
    Wang, Youqing
    PROCEEDINGS OF 2020 IEEE 9TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS'20), 2020, : 449 - 454
  • [6] Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network
    Cheng, Yiwei
    Lin, Manxi
    Wu, Jun
    Zhu, Haiping
    Shao, Xinyu
    KNOWLEDGE-BASED SYSTEMS, 2021, 216
  • [7] A fine-grained feature decoupling based multi-source domain adaptation network for rotating machinery fault diagnosis
    Zheng, Xiaorong
    Nie, Jiahao
    He, Zhiwei
    Li, Ping
    Dong, Zhekang
    Gao, Mingyu
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 243
  • [8] An ensemble fault diagnosis method for rotating machinery based on wavelet packet transform and convolutional neural networks
    Jiang, Li
    Wu, Lin
    Tian, Yu
    Li, Yibing
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2022, 236 (24) : 11600 - 11612
  • [9] Fault diagnosis of rotating machinery based on wavelet packets-ART2 neural network
    Liu, HL
    Wang, BB
    Wavelet Analysis and Active Media Technology Vols 1-3, 2005, : 1013 - 1018
  • [10] Intelligent fault diagnosis of rotating machinery via wavelet transform, generative adversarial nets and convolutional neural network
    Liang, Pengfei
    Deng, Chao
    Wu, Jun
    Yang, Zhixin
    MEASUREMENT, 2020, 159