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Expressing validity estimates in smart sensor applications

机译:在智能传感器应用中表达有效性估计

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Distributed control applications need reliable data from remote sensors. This paper presents a method for describing the validity of continuously valued sensor data that represents the confidence an application can put in remote information. Validity is dependent on the completeness of the sensor failure model and the quality of the respective checking mechanisms. Finally, the results of the various individual tests have to be combined into a single validity value. The paper describes how to derive an expressive notion of validity and gives an example how to exploit it in a Kalman filter for sensor fusion.
机译:分布式控制应用需要来自远程传感器的可靠数据。本文介绍了一种描述了代表应用程序可以放在远程信息中的信心的连续值传感器数据的有效性。有效性取决于传感器故障模型的完整性和各个检查机制的质量。最后,必须将各种检验的结果组合成单个有效性值。本文介绍了如何派生有效性的表现概念,并给出了如何在卡尔曼滤波器中利用它的示例以进行传感器融合。

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