Study on the Method for Fault Sample Selection Based on Fuzzy Clustering

Hong Xia Wang; Shuang Shuang Liu; Xiao Hui Ye

doi:10.4028/www.scientific.net/AMR.219-220.492

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 219-220Study on the Method for Fault Sample Selection...

Study on the Method for Fault Sample Selection Based on Fuzzy Clustering

Abstract:

A new method of fault sample selection is presented. First, the mapping relationship is established between the system components and system functions attributes according to the similarity of the system components and system functions attributes, the components are clustered to the class by fuzzy clustering method; then the fault sample is selected in the class according to relation of the faults propagation, the selected fault sample is validated by using the function adequacy and test adequacy. Finally From experimental results, the conclusion can be drown that the cost of this method is lower and the fault detection ratio is high. Compare with the other method the new method has certain advantages.

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Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

492-495

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.219-220.492

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Online since:

March 2011

Authors:

Hong Xia Wang, Shuang Shuang Liu, Xiao Hui Ye

Keywords:

Fault Samples Selection, Fuzzy Clustering, Testability Demonstration

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