کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
381505 | 1437505 | 2007 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model](/preview/png/381505.png)
چکیده انگلیسی
In the paper an application of the interval fuzzy model (INFUMO) in fault detection for nonlinear systems with uncertain interval-type parameters is presented. A confidence band for the input–output data, obtained in the normal operating conditions of a system, is approximated using a fuzzy model with interval parameters. The approximation is based on linear programming using l∞l∞-norm as a measure of the modelling error. Applying low-pass filtering when obtaining the confidence band makes it possible to use arbitrary sets of identification input signals. An application of the INFUMO in a fault-detection system for a two-tank system is presented to demonstrate the benefits of the proposed method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 20, Issue 4, June 2007, Pages 503–510
Journal: Engineering Applications of Artificial Intelligence - Volume 20, Issue 4, June 2007, Pages 503–510
نویسندگان
Simon Oblak, Igor Škrjanc, Sašo Blažič,