• DocumentCode
    467724
  • Title

    Research on Evaluation Method Based on Multi-Hierarchy Grey Correlative Analysis in Intelligent Fault Diagnosis

  • Author

    Cao, Shou-qi ; Han, Yan-ling

  • Author_Institution
    Shanghai Fisheries Univ., Shanghai
  • Volume
    2
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    962
  • Lastpage
    967
  • Abstract
    Diagnosis decision-making and evaluation analysis is two closely-related contents in the process of intelligent fault diagnosis, correct decision-making could be made only based on objective and fair evaluation. This paper gave the evaluation indicator architecture for intelligent fault diagnosis decision-making; combining the special superiority of grey correlative analysis in the way of quantify analysis and evaluation for nonlinear, dispersion, and dynamic date, associated the grey correlative analysis with hierarchical analysis method, brought forward the evaluation method based on multi-hierarchy grey correlative analysis and applied it into intelligent fault diagnosis, researched deeply its principle, algorithm and evaluation execution process, and finally gave analysis sample. By integrating estimation into the decision-making process of intelligent diagnosis, provides the strong support in the way of analysis method for the correct decision-making of intelligent fault diagnosis.
  • Keywords
    artificial intelligence; decision making; fault diagnosis; diagnosis decision-making; evaluation indicator architecture; hierarchical analysis method; intelligent fault diagnosis; multi-hierarchy grey correlative analysis; Algorithm design and analysis; Cybernetics; Decision making; Educational institutions; Fault diagnosis; Information analysis; Large-scale systems; Learning systems; Machine learning; Production; Evaluation Architecture; Intelligent Fault Diagnosis; Multi-hierarchy Grey Correlative Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370281
  • Filename
    4370281