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Sequential Fault-Tolerant Fusion Estimation for Multisensor Time-Varying Systems

机译:多传感器时变系统的顺序容错融合估计

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摘要

In this paper, the impact of the fusion framework on the fault diagnosis process is discussed.The centralized fusion framework makes it difficult to locate and estimate the sensor fault. Based on the fault detectionmethod, the sequential fusion framework could locate and estimate the sensor fault and realize the fault-tolerant estimation of system states. In the sense ofminimummean square error (MMSE), based on the sequential detection of bias fault of sensors, a sequential fault-tolerant fusion estimation approach is presented to estimate the sensor fault and the system state, simultaneously, optimally, in real time. Further, a novel alternate fault-tolerant fusion estimation method is proposed to alternately estimate the sensor fault and the system state, in the frame of sequential fusion. What is more, the equivalency of the two proposed methods is proved. And the feasibility and equivalency of them are also verified by the computer simulation.
机译:在本文中,讨论了融合框架对故障诊断过程的影响。集中式融合框架使得难以定位和估算传感器故障。 基于故障检测方法,顺序融合框架可以定位和估计传感器故障并实现系统状态的容错估计。 在Minimummummumbean误差(MMSE)的感觉中,基于传感器的偏置故障的顺序检测,提出了一种顺序容错融合估计方法以估计传感器故障和系统状态,同时实时地最佳地。 此外,提出了一种新颖的替代容错融合估计方法,以交替估计顺序融合帧中的传感器故障和系统状态。 更重要的是,证明了两种提出的方法的等效。 它们的可行性和等效性也通过计算机仿真来验证。

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