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Automatic signal processing-based learning in a process plant

机译：在过程工厂中基于信号处理的自动学习

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摘要

Techniques for automatically or autonomously performing signal processing-based learning in a process plant are disclosed. Generally, said techniques automatically or autonomously perform signal processing on a real-time signal that is generated based on the process plant controlling a process. Typically, the signal corresponds to a parameter value that varies over time, and the signal is processed as it is generated in real-time during on-line plant operations. Results of the signal processing may indicate characteristics of the signal, and one or more analytics functions may determine the sources of the characteristics, which may include a process element or device, a piece of equipment, and/or an asset of the process plant that is upstream, within the process, of the source of the signal. An autonomous signal processor may be integrated with or included in a process control device and/or a big data node of the process plant.
机译：公开了用于在加工厂中自动或自主执行基于信号处理的学习的技术。通常，所述技术对基于控制过程的过程工厂生成的实时信号自动或自主地执行信号处理。典型地，该信号对应于随时间变化的参数值，并且在在线工厂操作期间实时生成信号时对其进行处理。信号处理的结果可以指示信号的特征，并且一个或多个分析功能可以确定特征的来源，其可以包括过程元素或设备，一件设备和/或过程工厂的资产，在此过程中位于信号源的上游。自主信号处理器可以与过程工厂的过程控制设备和/或大数据节点集成在一起或包含在其中。

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