Fault detection in non-linear systems based on type-2 fuzzy logic. (English) Zbl 1316.93069
Summary: This paper presents a new method for Fault Detection (FD) based on interval type-2 fuzzy sets. The main idea is based on a confident span using interval type-2 fuzzy systems. An estimate for upper and lower bounds of output has been taken using the designing of an optimal fuzzy system through clustering. Finally, the method has been tested in two nonlinear systems, a two-tank with a fluid flow and pH neutralization process, and it is compared with a well-known method named ANFIS. Furthermore, the mathematical model and the results of simulations prove the effectiveness, usefulness and applications of our new method.
MSC:
| 93C42 | Fuzzy control/observation systems |
| 93C10 | Nonlinear systems in control theory |
| 93E10 | Estimation and detection in stochastic control theory |
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