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
    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
    ENTROPY, 2022, 24 (07)
  • [23] Gearbox Fault Diagnosis Based on Improved Variational Mode Extraction
    Guo, Yuanjing
    Jiang, Shaofei
    Yang, Youdong
    Jin, Xiaohang
    Wei, Yanding
    SENSORS, 2022, 22 (05)
  • [24] Fault Diagnosis of Printing Machine Bearings based on Improved Empirical Mode Decomposition and DBO-SVM
    Li, Ting
    Yu, Mingyang
    Ma, Tianyi
    Du, Yanping
    Dou, Shuihai
    JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, 2025, 69 (01)
  • [25] Fault diagnosis of rolling bearings based on sfla optimized variational mode extraction
    Zhang, Huaibin
    Chen, Zhigang
    Yang, Yuanpeng
    Wang, Yanxue
    Zhendong yu Chongji/Journal of Vibration and Shock, 2024, 43 (10): : 132 - 139
  • [26] 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
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 5413 - 5417
  • [27] Engine Fault Diagnosis Based on Independent Variational Mode Decomposition and Improved Kernel Extreme Learning Machine
    Liu M.
    Zhang Y.
    Li Z.
    Fan H.
    Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2019, 39 (04): : 875 - 883
  • [28] 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
    MEASUREMENT, 2022, 192
  • [29] Envelope demodulation based on variational mode decomposition for gear fault diagnosis
    An, Xueli
    Zeng, Hongtao
    Li, Chaoshun
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2017, 231 (04) : 864 - 870
  • [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
    MACHINES, 2023, 11 (01)
12345