Fault diagnosis of rolling bearings using least square support vector regression based on glowworm swarm optimization algorithm

被引：0
|
作者：
Xu, Qiang [1 ]
Liu, Yong-Qian [1 ]
Tian, De [1 ]
Zhang, Jin-Hua [1 ]
Long, Quan [2 ]
机构：
[1] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
[2] Test and Research Institute, China Datang Corporation Renewable Power Co., Ltd., Beijing 100068, China
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2014年 / 33卷 / 10期
关键词：
D O I：
10.13465/j.cnki.jvs.2014.10.002
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：8 / 12
相关论文
共 50 条
  • [31] Fault diagnosis of rolling element bearings based on complexity measure and v support vector machine
    Wang, Guofeng
    Liu, Chang
    INSIGHT, 2013, 55 (03) : 142 - 146
  • [32] Online Lithium Battery Fault Diagnosis based on Least Square Support Vector Machine Optimized by Ant Lion Algorithm
    Li S.
    Zhou Y.
    Li R.
    Zhao X.
    International Journal of Performability Engineering, 2020, 16 (10) : 1637 - 1645
  • [33] Improving the speed of support vector regression using regularized least square regression
    Pirmard S.S.
    Forghani Y.
    Ingenierie des Systemes d'Information, 2020, 25 (04): : 427 - 435
  • [34] Using least square support vector regression with genetic algorithm to forecast beta systematic risk
    Yuan, Fong-Ching
    Lee, Chao-Hui
    JOURNAL OF COMPUTATIONAL SCIENCE, 2015, 11 : 26 - 33
  • [35] Enhanced complex wire fault diagnosis via integration of time domain reflectometry and particle swarm optimization with least square support vector machine
    Laib, Abderrzak
    Chelabi, Mohamed
    Terriche, Yacine
    Melit, Mohammed
    Boudjefdjouf, Hamza
    Ahmed, Hafiz
    Chedjara, Zakaria
    IET SCIENCE MEASUREMENT & TECHNOLOGY, 2024,
  • [36] Inversion Study on Landslide Seepage Field Based on Swarm Intelligence Optimization Least-Square Support Vector Machine Algorithm
    Tang, Xuan
    Shi, Chong
    Zhang, Yuming
    APPLIED SCIENCES-BASEL, 2024, 14 (13):
  • [37] Bearing fault diagnosis using wavelet packet transform and least square support vector machines
    Wan, Shuting
    Tong, Haixia
    Dong, Binghui
    Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2010, 30 (02): : 149 - 152
  • [38] Fault diagnosis of power transformers using multi-class least square support vector machines classifiers with particle swarm optimisation
    Zheng, H. B.
    Liao, R. J.
    Grzybowski, S.
    Yang, L. J.
    IET ELECTRIC POWER APPLICATIONS, 2011, 5 (09) : 691 - 696
  • [39] Fruit Fly Optimization Based Least Square Support Vector Regression for Blind Image Restoration
    Zhang, Jiao
    Wang, Rui
    Li, Junshan
    Yang, Yawei
    INTERNATIONAL SYMPOSIUM ON OPTOELECTRONIC TECHNOLOGY AND APPLICATION 2014: IMAGE PROCESSING AND PATTERN RECOGNITION, 2014, 9301
  • [40] Sheet forming optimization based on least square support vector regression and intelligent sampling approach
    Wang, Hu
    Li, Guangyao
    INTERNATIONAL JOURNAL OF MATERIAL FORMING, 2010, 3 : 9 - 12
12345