您当前的位置:
首页 >
文章列表页 >
Research on fault diagnosis expert system of ultracentrifuge based on Bayesian network
更新时间:2025-09-11
    • Research on fault diagnosis expert system of ultracentrifuge based on Bayesian network

    • Vol. 31, Issue 2, Pages: 39-41+44(2012)
    • DOI:10.13873/j.1000-97872012.02.008    

      CLC: TH165.3;TP182
    • Published:2012

    移动端阅览

  • HAN Yan-zhe1, LIU Bo-feng1, ZHANG Jun1, et al. Research on fault diagnosis expert system of ultracentrifuge based on Bayesian network[J]. 2012, 31(2): 39-41+44. DOI: 10.13873/j.1000-97872012.02.008.

  •  
  •  
icon
试读结束,您可以激活您的VIP账号继续阅读。
去激活 >
icon
试读结束,您可以通过登录账户,到个人中心,购买VIP会员阅读全文。
已是VIP会员?
去登录 >

0

Views

201

下载量

12

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Application of HHT and GCA-NBC in fault diagnosis of S700K switch machineFull text replacement
AC motor fault diagnosis based on heterogeneous multi-sensor  fusion with graph neural network
Intelligent monitoring method and application of multi-sensor fusion for underground coal mine belt conveyor
Study on fault diagnosis for spectroscope amplifier based on GSA-SVM
Gearbox fault diagnosis based on multi-channel input CNN-SVM

Related Author

Full text replacementWANG Linjie
MI Gensuo
GUO Hui
CHEN Youxing
LI Xiaoyu
BAI Haidong
XU Ruibo
SONG Shengwei

Related Institution

College of Automation and Electrical Engineering,Lanzhou Jiaotong University
School of Intelligent Manufacturing and Vehicles,Shanxi Jinzhong Institute of Technology
School of Information and Communication Engineering,North University of China
Ordos Haohua Clean Coal Co Ltd
School of Mechanical Engineering,Heilongjiang University of Science and Technology
0