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Fuzzy logic method for adaptively evaluating the validity of sensor data

机译:自适应评估传感器数据有效性的模糊逻辑方法

摘要

Machine operators rely on intuition and experience to evaluate vehicle performance. As we increasingly turn to automation, it is important to automatically evaluate sensor data and system performance. Fuzzy logic allows us to take advantage of domain knowledge to evaluate data and to describe a system linguistically. In this application a fuzzy quality module evaluates output from a noisy sensor. It compares the sensor data with an estimated sensor value, and based on that comparison, dynamically adapts a fuzzy logic rulebase used to determine whether the sensor value is valid or not.
机译:机器操作员依靠直觉和经验来评估车辆性能。随着我们逐渐转向自动化,自动评估传感器数据和系统性能非常重要。模糊逻辑使我们能够利用领域知识来评估数据并用语言描述一个系统。在此应用中,模糊质量模块评估噪声传感器的输出。它将传感器数据与估计的传感器值进行比较,并基于该比较,动态调整用于确定传感器值是否有效的模糊逻辑规则库。

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