On applying interval fuzzy model to fault detection and isolation for nonlinear input-output systems with uncertain parameters

机译：区间模糊模型在不确定参数非线性输入输出系统的故障检测与隔离中的应用

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This paper presents an application of the interval fuzzy model (INFUMO) in fault detection and isolation for a class of processes with uncertain interval-type parameters. Confidence data bands for the process input-output pairs are approximated using a fuzzy model with interval parameters. The approximation, based on linear programming, employs l_infin-norm as the modelling error measure. Arbitrary sets of identification input signals can be used due to the application of low-pass filtering when obtaining the confidence bands. Using a combination of INFUMOs makes it possible to devise a fault-isolation scheme based on the given incidence matrix. Simulation results of a fault detection and isolation for a two-tank system are provided, which illustrate the relevance of the proposed FDI method

机译：本文提出了区间模糊模型（INFUMO）在故障诊断和隔离中一类不确定区间类型参数过程的应用。使用带有间隔参数的模糊模型来近似过程输入输出对的置信度数据带。基于线性规划的近似方法采用l _{infin -范数作为建模误差度量。由于在获得置信带时应用了低通滤波，因此可以使用任意组的标识输入信号。通过结合使用INFUMO，可以根据给定的入射矩阵设计故障隔离方案。提供了两罐系统故障检测与隔离的仿真结果，说明了所提出的FDI方法的相关性}

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《2001 IEEE International Solid-State Circuits Conference, 2001. ISSCC, 2001》|2001年|p.465-470|共6页
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Oblak S.; Skrjanc I.; Blazic S.;
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中图分类自动化技术、计算机技术;
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1. Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model [J] . Simon Oblak, Igor Skrjanc, Saso Blazic Engineering Applications of Artificial Intelligence . 2007,第4期

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2. Fault detection and isolation of fuzzy system with uncertain parameters using the bounded approach [J] . HASSENE BEDOUI, ATEF KEDHER, KAMEL BEN OTHMAN WSEAS transactions on systems and control . 2014,第Pta1期

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3. Event triggered H_/H_∞ fault detection and isolation for T-S fuzzy systems with local nonlinear models [J] . Ding Zhai, An-Yang Lu, Jiuxiang Dong, Signal processing . 2017,第SEPa期

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4. On applying interval fuzzy model to fault detection and isolation for nonlinear input-output systems with uncertain parameters [C] . Oblak, S., Skrjanc, . 2005

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5. Model based fault detection and isolation in nonlinear dynamic systems. [D] . Krishnaswami, Vasanth. 1996

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6. Fuzzy Stochastic Petri Nets for Modeling Biological Systems with Uncertain Kinetic Parameters [O] . Fei Liu, Monika Heiner, Ming Yang -1

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7. Fault Detection and Isolation in Nonlinear Dynamic Systems: A Combined Input-Output and Local Approach [O] . Qinghua Zhang, Michèle Basseville, Albert Benveniste 1998

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On applying interval fuzzy model to fault detection and isolation for nonlinear input-output systems with uncertain parameters

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