Interval type-2 fuzzy set application in fault detection for chemical reactor with TLBO algorithm

Abstract

In this paper, an innovative fault detection method has been presented for nonlinear systems based on interval type-2 fuzzy model. In the proposed approach, a confidence bound has been obtained for the input-output data in the normal operating conditions of the system. The confidence bound is approximated by using a fuzzy model with interval parameters. Confident bound makes it possible to use arbitrary sets of identification input signals. Finally, a chemical reactor system has been used to demonstrate the benefits of the proposed method in fault detection applications.