研究线性时不变动态系统鲁棒故障检测滤波器设计问题。
This paper addresses robust fault detection filter design for linear-time-invariant dynamic system.
本文讨论利用故障检测滤波器对同时故障进行分离的问题。
This paper is concerned with the detection and isolation of simultaneous faults with failure detection filters.
鲁棒故障检测滤波器方法使残差既有干扰解耦特性又有方向特性。
The robust fault detection filters can ensure that the residual error, generated by this filter, has both robust and directional properties.
研究线性不确定系统的反馈控制器与鲁棒故障检测滤波器集成设计问题。
The integrated design problem of feedback controller and robust fault detection filter is studied for uncertain linear time invariant system.
本文讨论了鲁棒故障检测滤波器在喷气式发动机传感器故障诊断中的应用。
This paper discusses the robust fault isolation of faulty sensors in a jet engine system.
最后，研究最优解耦策略鲁棒故障检测滤波器方法及其在关联大系统中的应用。
In the end, the optimal decoupling strategy for robust fault detection filter method and its application for large-scale interconnected systems are also discussed.
同时，针对残差信号与未知输入干扰不能完全解耦的情况，本文采用特征结构配置方法进行鲁棒故障检测滤波器设计。
Then the design of fault detection filter with robust eigenstructure assignment is investigated in a class of residual signal for the unknown input disturbance can not be completely decoupled.
分析了基于卡尔曼滤波器的残差检验法对传感器缓变故障检测的不敏感性原因。
The reason that the residual test method based on Kalman filter is insensitive to sensor soft fault detection is analyzed.
基于融合状态递推器对各个子传感器的量测预报，本文提出了一种新的联邦滤波器传感器故障检测方法。
A new fault detection method using a fusion state propagator to predict the measurement of each local sensor is presented to detect sensor failures for the federated filter.
然后采用强跟踪滤波器估计过程状态及传感器偏差，传感器偏差估计用于驱动一个故障检测逻辑。
Then, the STF is adopted to estimate process states and sensor bias, the estimated sensor bias is used to drive a fault detection logic.
信息分配系数确定的新方法由于实现了联邦滤波器局部滤波的最优性，从而提高了软故障检测灵敏度。
The new method to determine the optimal information sharing coefficients gives the optimal local filter design, so it improves soft-fault detection sensitivity.
因此，它可应用于电力系统故障检测、保护和电力有源滤波器谐波电流检测中。
Therefore it can be widely applied to fault detection, protection for power system and active power filter.
讨论了采用卡尔曼滤波器对发动机传感器故障进行检测、分离问题。
In this paper the method using Kalman filters for the deteCtion and isolation of engine sensors is discussed.
将其作为检测工具，利用谱峭度构造最优滤波器提取轴承故障信息。
It was used as the detection tool and a basis for designing optimal detection filters that can efficiently extract the information of rolling bearing fault.
研究利用卡尔曼滤波器及多重故障假设检验方法来检测某发动机控制系统传感器硬、软故障，并实现故障传感器的输出重构。
According to Kalman filter and multiple-failure-hypothesis based testing, the sensor failures are detected, isolated and accommodated in turbofan engine control system.
针对线性时不变动态系统，给出了故障检测观测器设计问题的描述，采用后置滤波器达到对故障具有尽可能大的灵敏度，而同时对未知输入信号的影响具有尽可能强的鲁棒性目标。
Using post-filter can reach the aim when the system is designed to be as possibleas sensitive to faults and simultaneously as possibleas robust to the unknown inputs such as disturbance.
在系统发生故障时，比例积分强跟踪滤波器不仅能够快速检测、定位故障，而且还能估计出故障的大小。
When faults arise in the control systems, PI Strong Tracking filter can detect, locate and estimate the faults at the same time.
实验结果表明，故障诊断滤波器对发生在不同传感器上的故障进行了有效的检测。
The simulation results illustrate that the FDF detected the faults occurred in different sensors effectively.
实验结果表明，故障诊断滤波器对发生在不同传感器上的故障进行了有效的检测。
The simulation results illustrate that the FDF detected the faults occurred in different sensors effectively.
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