Fault detection in nonlinear systems based on type-2 fuzzy sets and bat optimization algorithm

In this paper, a new method of fault detection is proposed based on interval type-2 fuzzy systems. The main idea is to provide a confident span using interval type-2 fuzzy sets. Bat algorithm, as a metaheuristic method, is used to optimize the parameters of the system. In other words, upper and lower bounds of the interval type-2 fuzzy system are estimated by means of two optimal fuzzy functions. The proposed fault detection method has been tested in a non-linear system, a two-tank with a fluid flow. Simulation results show that the proposed method is very strong and effective.

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