Fault diagnosis of bearings in nuclear power plants based on improved variational mode decomposition

被引：0
|
作者：
Zhu, Shaomin [1 ,2 ]
Xia, Hong [1 ,2 ]
Wang, Zhichao [1 ,2 ]
Peng, Binsen [1 ,2 ]
Jiang, Yingying [1 ,2 ]
Zhang, Jiyu [1 ,2 ]
机构：
[1] Key Laboratory of Nuclear Safety and Advanced Nuclear Energy Technology, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin,150001, China
[2] Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University, Harbin,150001, China
来源：
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2021年 / 42卷 / 10期
关键词：
613 Nuclear Power Plants - 716.1 Information Theory and Signal Processing - 802.3 Chemical Operations - 921.5 Optimization Techniques - 922.2 Mathematical Statistics - 932.2 Nuclear Physics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
11
引用
收藏
页码：1550 / 1556
相关论文
共 50 条
  • [21] Diesel Engine Valve Clearance Fault Diagnosis Based on Improved Variational Mode Decomposition and Bispectrum
    Bi, Xiaoyang
    Cao, Shuqian
    Zhang, Daming
    [J]. ENERGIES, 2019, 12 (04)
  • [22] Improved Variational Mode Decomposition and CNN for Intelligent Rotating Machinery Fault Diagnosis
    Xiao, Qiyang
    Li, Sen
    Zhou, Lin
    Shi, Wentao
    [J]. ENTROPY, 2022, 24 (07)
  • [23] Gearbox Fault Diagnosis Based on Improved Variational Mode Extraction
    Guo, Yuanjing
    Jiang, Shaofei
    Yang, Youdong
    Jin, Xiaohang
    Wei, Yanding
    [J]. SENSORS, 2022, 22 (05)
  • [24] Fault diagnosis of rolling bearings based on sfla optimized variational mode extraction
    Zhang, Huaibin
    Chen, Zhigang
    Yang, Yuanpeng
    Wang, Yanxue
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2024, 43 (10): : 132 - 139
  • [25] Fault Diagnosis of Bearing Based on Variational Mode Decomposition and Deep Learning
    Cui, Jianguo
    Tang, Shan
    Cui, Xiao
    Wang, Jinglin
    Yu, Mingyue
    Du, Wenyou
    Jiang, Liying
    [J]. PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 5413 - 5417
  • [26] Envelope demodulation based on variational mode decomposition for gear fault diagnosis
    An, Xueli
    Zeng, Hongtao
    Li, Chaoshun
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2017, 231 (04) : 864 - 870
  • [27] Gear fault diagnosis based on CS-improved variational mode decomposition and probabilistic neural network
    Lin, Ying
    Xiao, Maohua
    Liu, Huijia
    Li, Zhuolong
    Zhou, Shuang
    Xu, Xiaomei
    Wang, Dicheng
    [J]. MEASUREMENT, 2022, 192
  • [28] Engine Fault Diagnosis Based on Independent Variational Mode Decomposition and Improved Kernel Extreme Learning Machine
    Liu M.
    Zhang Y.
    Li Z.
    Fan H.
    [J]. Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2019, 39 (04): : 875 - 883
  • [29] Bearing fault diagnosis based on variational mode decomposition and stochastic resonance
    Zhang, Xin
    Liu, Huiyu
    Zhang, Heng
    Miao, Qiang
    [J]. 2018 IEEE INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (ICPHM), 2018,
  • [30] Fault Diagnosis of Mine Ventilator Bearing Based on Improved Variational Mode Decomposition and Density Peak Clustering
    Zhang, Xi
    Wang, Hongju
    Li, Xuehui
    Gao, Shoujun
    Guo, Kui
    Wei, Yingle
    [J]. MACHINES, 2023, 11 (01)
12345