Formalizing Case Based Inference Using Fuzzy Rules

Author(s):  
Eyke Höllermeier ◽  
Didier Dubois ◽  
Henri Prade
Keyword(s):  
2014 ◽  
Vol 986-987 ◽  
pp. 1518-1522
Author(s):  
Chang Liang Liu ◽  
Xin Tong Yao

In view of the nonlinear, fuzzy relationship between fan fault reason and fault symptom, put forward a kind of threshold diagnosis strategy combined with fuzzy rules and case reasoning. Using a fan fault vector through fuzzy fault diagnosis model to compare with a given threshold, then generate the initial fault solution set, and finally using case-based reasoning thinking, accurate fault location. Then we verify the method’s effectiveness through a fault analysis of fan rotor vibration. The results show that the combination with fuzzy rules and case reasoning can effectively solve the problem of multi factors of failure reasons.


1998 ◽  
Vol 62 (3) ◽  
pp. 242-247
Author(s):  
PW Coleman
Keyword(s):  

2016 ◽  
Vol 22 ◽  
pp. 48-49
Author(s):  
Amy Larkin ◽  
Colleen Healy ◽  
Anne Le

2013 ◽  
Author(s):  
John H. J. Wokke ◽  
Pieter A. van Doorn ◽  
Jessica E. Hoogendijk ◽  
Marianne de Visser

Sign in / Sign up

Export Citation Format

Share Document