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AUTOMATED DETECTION OF ANOMALOUS INDUSTRIAL PROCESS OPERATION

机译:自动检测异常工业过程操作

摘要

Automated detection of anomalous operation of equipment in an industrial process. A reporting architecture utilizes scaled entropy calculations that enable comparing signal entropies across a plurality of time periods without prior knowledge of the scale of the signal. The reporting architecture combines the scaled entropy values with statistical analyses to detect anomalous time periods that represent anomalous operation of equipment in an industrial process. The reporting architecture generates reports of the anomalous operation for transmission to particular user devices via a communications network.
机译:自动检测工业过程中设备的异常操作。报告架构利用缩放的熵计算,使得能够在多个时间段跨越多个时间段进行比较,而无需先验知识的信号的规模。报告架构将缩放的熵值与统计分析相结合,以检测代表工业过程中设备的异常操作的异常时间段。报告架构通过通信网络生成对特定用户设备的异常操作的报告。

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