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Optimal Performance of Inertial Navigation Sensors Using Pseudo Sensor Enhancement Method (PSEM) for Intelligent System Applications

机译:使用伪传感器增强方法(PSEM)的惯性导航传感器在智能系统中的最佳性能

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The recent technology of intelligent systems is using multiple sensors to assess real-time information of the internal system states and the environmental operating conditions. In the case of sensor(s) transient faults, the dis-connection of the readings causes inappropriate actions. So the need for sensor fault detecting and estimating multiple sensor faults becomes an important issue to optimize and enhance the system performance. Redundant sensors can provide highly accurate sensor data and also reconfigure sensor network systems if some sensors failed. In this paper, optimal sensor configurations are investigated using a new proposed pseudo sensor enhancement method (PSEM). Fault detection prediction analysis of multi-sensor architecture is introduced to study different number of sensors with different arrangement architectures and to detect transient faults in each sensor. Then, the proposed PSEM is investigated to isolate and compensate for the transient faults. The simulation results of different sensor architecture configurations with applying the PSEM have been obtained and analyzed to demonstrate the enhancement in operational performance of the proposed method to meet the requirements for multiple sensor intelligent systems.
机译:智能系统的最新技术是使用多个传感器来评估内部系统状态和环境运行状况的实时信息。在传感器瞬态故障的情况下,读数的断开会导致不适当的动作。因此,对传感器故障进行检测和估计多个传感器故障的需求成为优化和增强系统性能的重要问题。冗余传感器可以提供高精度的传感器数据,如果某些传感器发生故障,还可以重新配置传感器网络系统。在本文中,使用新提出的伪传感器增强方法(PSEM)研究了最佳传感器配置。引入了多传感器体系结构的故障检测预测分析,以研究不同数量,具有不同布置结构的传感器,并检测每个传感器中的瞬时故障。然后,对提出的PSEM进行研究,以隔离和补偿瞬态故障。已获得并分析了应用PSEM的不同传感器架构配置的仿真结果,以证明所提出方法的操作性能得到了增强,可以满足多传感器智能系统的要求。

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