The intelligent fault diagnosis frameworks based on fuzzy integral

  title={The intelligent fault diagnosis frameworks based on fuzzy integral},
  author={Mehmet Karakose and Ilhan Aydin and Erhan Akin},
  journal={SPEEDAM 2010},
Fuzzy integral is an information aggregation and combination process in a multi-criteria environment using fuzzy measures. This paper presents a new data fusion method using fuzzy integral for fault diagnosis. The method consists of two frameworks. The first framework was employed to identify the relations between features and a specified fault. The second framework was implemented to integrate different diagnosis algorithms to improve the accuracy rates of them. The choquet fuzzy integral was… CONTINUE READING
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