吉林大学学报(工学版)

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Electromagnetic compatibility prediction of automobile based on fuzzy inference

Gao Yin-han1, Ma Xi-lai1, Chen Ru-na2   

  1. 1.Centre of Test Science, Jilin University, Changchun 130022,China; 2.Department of Mechanical and Electronic Engineering, Jilin Teachers Institute of Engineering and Technology
  • Received:2005-07-05 Revised:2005-09-18 Online:2006-05-01 Published:2006-05-01
  • Contact: Gao Yinhan

Abstract: A technique of ascertaining the prediction factors and the prediction objects,e.g. the values of the electromagnetic interference(EMI), from the early parameter measurement data was proposed. The data were classified based on their statistical character,the fuzzy relation set was ascertained from the merging of the fuzzy implication relations, and the membership functions as the correction factors of the prediction scope were constructed. The predicted values of the EMI were obtained from the designed parameters or the theoretical data under the rational judging criteria. The suggested technique can avoid the difficulties of the conventional electromagnetic compatibility(EMC) prediction method in model solution and application limitation. The computation example illustrated its usefulness in the vehicle EMC design.

Key words: information processing, electromagnetic compatibility prediction, sensitivity threshold, fuzzy implication relation, membership function

CLC Number: 

  • TP206.3
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