A design of fault detection observer based on optimal sensor location is proposed.
提出一种基于传感器最优配置的故障检测观测器设计方法。
Aiming at a class of nonlinear system, designs a kind of sliding mode neural network observer for fault detection and diagnosis.
针对一类非线性系统，设计了一种用于故障检测和诊断的滑模神经网络观测器。
A nonlinear time dependent thermodynamic system status is analyzed with a fault detection and diagnostic method being carried out by a dynamic neuron network status observer.
采用动态神经元网络状态观测器的故障检测和诊断方法对非线性时变热力系统状态进行估计。
This paper realizes disturbance de-coupled with model error and system uncertainty by using a combination of full-order nonlinear unknown input observer and fault detection filter.
该文设计了全维非线性未知输入观测器，实现检测滤波器对于被控对象模型误差和系统不确定性因素的干扰解耦。
Then fault detection approach based on this observer was introduced. The design algorithm of the fault observer was summarized.
然后在此基础上介绍了一种故障检测的方法，总结了故障观测器的设计算法。
Based on observer method, an algorithm of actuator fault detection and diagnosis is presented for a class of nonlinear control systems with system modeling errors and sensor modeling uncertainties.
针对一类具有系统建模误差以及含传感器模型不确定项的非线性控制系统，本文提出了一种用于执行器故障检测与诊断的观测器方法。
A new parametric observer-based approach for robust fault detection and isolation in linear time-delay systems with unknown disturbances is proposed.
针对一类具有未知干扰输入的时滞线性系统，提出一种鲁棒故障检测与分离的完全参数化方法。
A parametric observer-based approach for robust fault detection and isolation in multivariable linear systems with unknown disturbances is proposed.
针对具有未知干扰输入的多变量线性系统，提出一种鲁棒故障检测与分离的完全参数化方法。
A new fault detection and diagnosis method based on sliding mode observer is presented for a class of nonlinear system.
本文针对一类非线性系统，提出了一种用于故障检测和诊断的滑模观测器方法。
After thoroughly researching on the methods of the robust fault detection based on the observer, three robust fault detection design methods are put forward.
对基于诊断对象数学模型的鲁棒故障诊断方法展开了深入的研究，并给出了三种鲁棒故障检测设计方法。
The reduced order observer is applied to fault detection and diagnosis by transforming the linear system with unknown inputs to the standard form of linear system with generalized unknown inputs.
通过将含有未知输入的线性系统化为含有广义未知输入系统的标准形式，将降价观测器应用于故障检测及诊断。
An unified methodology for the fault detection and the fault tolerant control based on iterative learning observer (ILO) is presented.
提出了一种基于迭代学习观测器(ILO)将故障检测和容错控制进行统一设计的方法。
A robust RBF ANN-observer-based fault detection scheme is proposed for a class of multiple state (time-delay) systems with nonlinear perturbations.
基于状态观测器的方法研究了一类具有非线性扰动的多重状态时滞系统的鲁棒故障检测问题。
By appropriately choosing the free parameter satisfying some constraints, the robust fault detection and isolation scheme is realized by employing only one observer-based residual generator.
通过适当选择满足一些约束的自由参数，仅使用单一观测器实现了鲁棒故障检测与分离设计。
Aiming at the fault detection and its actual application in general nonlinear systems, a robust fault detection scheme based on adaptive -fuzzy output observer is proposed.
针对一般非线性系统的故障检测，从工程应用的角度提出了一种基于自适应模糊输出观测器的非线性系统鲁棒故障检测方法。
A new parametric observer-based approach for robust fault detection and isolation in linear time-delay systems with unknown disturbances is proposed.
针对具有未知干扰输入的多变量线性系统，提出一种鲁棒故障检测与分离的完全参数化方法。
A parametric observer-based approach for robust fault detection and isolation in multivariable linear systems with unknown disturbances is proposed.
针对一类具有未知干扰输入的时滞线性系统，提出一种鲁棒故障检测与分离的完全参数化方法。
A parametric observer-based approach for robust fault detection and isolation in multivariable linear systems with unknown disturbances is proposed.
针对一类具有未知干扰输入的时滞线性系统，提出一种鲁棒故障检测与分离的完全参数化方法。
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