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Machine Failure Diagnosis Model Applied with a Fuzzy Inference Approach

  • Lily Lin
  • Huey-Ming Lee
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 10)

Abstract

This study presented the method of fuzzy failure diagnosis to support the development failure diagnosis system. The fuzzy evaluation is used to process the problems of which the failures and the symptoms are dealing with the uncertainty. In this study, we development machine failure diagnosis model by using both statistics and fuzzy compositional rule of inference methods. We use the statistical confidence interval instead of the point estimate and fuzzify confidence interval to triangular fuzzy numbers. In this study, we apply the centroid method to solve the estimated failure rate in the fuzzy sense to obtain the machine failure degree.

Keywords

Fuzzy inference Failure diagnosis Membership grade 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Lily Lin
    • 1
  • Huey-Ming Lee
    • 2
  1. 1.Department of International BusinessChina University of TechnologyTaipeiTaiwan
  2. 2.Department of Information ManagementChinese Culture UniversityTaipeiTaiwan

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