Fault Diagnosis with HSDG Method in Application of Automatic Testing System
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    To solve problems like automatic testing line production fault is not easy to find, the found fault is difficult to solve, and other issues, this study introduces a kind of online fault diagnosis method based on improved Hierarchical Signed Directed Graph (HSDG). This method firstly sets up models and hierarchical clusters, gets automatic testing line’s hierarchical SDG model, then outputs SDG model samples combined with the Dynamic Kernel Partial Least Squares-Support Vector Regression (DKPLS-SVR) model to calculate all nodes symbols. Finally, the paper presents the complete fault diagnosis process based on “offline analysis” and “online diagnosis”. The results show that, this method is robust which can improve the diagnostic speed and resolution, the fault diagnosis results have certain ability of explanation and guiding significance in the production.

    Reference
    Related
    Cited by
Get Citation

魏磊,余健,王超. HSDG故障诊断方法在自动化检定系统中的应用.计算机系统应用,2020,29(11):97-103

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:March 31,2020
  • Revised:April 20,2020
  • Adopted:
  • Online: October 30,2020
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063