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Optimum test point selection based on MADM for analog fault dictionary techniques

  • Xiao Mei Chen*
  • , Xiao Feng Meng
  • , Guo Hua Wang
  • *Corresponding author for this work
  • North China Electric Power University
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

a new graph-search algorithm based on multi-attribute decision making (MADM) is proposed. Firstly, A* algorithm is used for graph-search, but when cost functions f(x) of two nodes are equal, three attributes describing a node are introduced. Secondly, a multi-attribute decision based on maximum deviation principle is used for nodes evaluation in order to select the best node for expanding. The proposed algorithm could overcome deviation brought by node evaluation based on information theory metrics only, which results in high accuracy. The outcome of simulation verification at the end of this paper manifests that this algorithm has excellent accuracy as the exhaustive algorithm, and is more quickly for large scale computation.

Original languageEnglish
Title of host publicationMeasuring Technology and Mechatronics Automation
Pages807-812
Number of pages6
DOIs
StatePublished - 2011
Event3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011 - Shanghai, China
Duration: 6 Jan 20117 Jan 2011

Publication series

NameApplied Mechanics and Materials
Volume48-49
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference3rd International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2011
Country/TerritoryChina
CityShanghai
Period6/01/117/01/11

Keywords

  • Fault dictionary
  • Mutli-attribute decision making(MADM)
  • Test point selection

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