Interval Type-2 Fuzzy Set Application in Fault Detection for Chemical Reactor with TLBO Algorithm

In this paper, an innovative method of fault detection by interval fuzzy model for nonlinear systems with uncertain interval type-2 parameters is presented. A confidence bound for the input–output data, obtained in the normal operating conditions of a system, is approximated using a fuzzy model with interval parameters. Confident bound makes it possible to use arbitrary sets of identification input signals. An application of the interval fuzzy set in a fault-detection system for a chemical reactor system is presented to demonstrate the benefits of the proposed method