Fault detection based on expanded Type-2 fuzzy sets
Li Li, Yimin Li, Yukun Sun · Systems engineering and electronics · 2008
As the raising of the complexity of systems,it is more and more difficult for the fault diagnosis.An expanded Type-2 fuzzy set is proposed,whose membership function has the character of confirming evidence,eliminating feint.Then a fuzzy diagnosis system is developed based on Type-2,and the corresponding designing algorithm is also given.As the negative values are added to the membership function,the residual error outputs could be clearly divided into three statuses: normal,abnormal and fault.The diagnostic conclusion can be clearly obtained by the added status,and miss-diagnosis and misdiagnosis could be prevented.Aiming at a kind of nonlinear system,simulation result verifies the efficiency of this method.