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Sensor/actuator fault diagnosis based on statistical analysis of innovation sequence and Robust Kalman Filtering

机译:基于创新序列统计分析和鲁棒卡尔曼滤波的传感器/执行器故障诊断

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摘要

In this paper, an approach to detect and isolate the aircraft sensor/actuator affecting the mean of the Kalman filter innovation sequence is presented. The effects of the sensor and actuator faults in the innovation process of the channels are investigated, and a decision approach to isolate the sensor and actuator faults is proposed. When a Kalman filter is used, the decision statistics change regardless of whether the fault is in the sensors or in the actuators, whilst when a Robust Kalman Filter (RKF) is used it is easy to distinguish the sensor and actuator faults.
机译:本文提出了一种检测和隔离影响卡尔曼滤波器创新序列均值的飞机传感器/执行器的方法。研究了传感器和执行器故障在通道创新过程中的影响,提出了一种隔离传感器和执行器故障的决策方法。当使用卡尔曼滤波器时,无论故障是在传感器中还是在执行器中,决策统计信息都会改变,而当使用鲁棒卡尔曼滤波器(RKF)时,很容易区分传感器和执行器故障。

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