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

被引：6
|
作者：
Safarinejadian, Behrouz [1 ]
Bagheri, Bahareh [1 ]
Ghane, Parisa [1 ]
机构：
[1] Shiraz Univ Technol, Elect & Elect Engn Dept, Shiraz 71555313, Iran
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2015年 / 28卷 / 01期
关键词：
Fuzzy system; interval type-2 fuzzy; bat algorithm; fault detection; GENERATION; DIAGNOSIS; MODEL;
D O I：
10.3233/IFS-141288
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：179 / 187
页数：9
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