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Optimal alarm threshold under time-varying operating conditions

机译:时变工作条件下的最佳警报阈值

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Alarm is an important method to detect the abnormal situations in modern industrial plants. Reducing the number of false alarms and missed alarms is significant for improving the performance of the alarm systems. In this paper, the optimal alarm threshold under time-varying operating condition has been studied. An alarm system model is introduced first, then the computational method of optimal alarm threshold without any data processing techniques is discussed. Moving average filter is then used to reduce the impact of measurement noise and its effect on the threshold design is further explained. An alarm design procedure based on these analysis is presented for the fast computation of alarm threshold. An example is provided to illustrate the effectiveness of the proposed method.
机译:警报是检测现代工厂异常情况的重要方法。减少误警报和漏警报的数量对于提高警报系统的性能非常重要。本文研究了时变工况下的最佳报警阈值。首先介绍了一种报警系统模型,然后讨论了无需任何数据处理技术的最佳报警阈值的计算方法。然后使用移动平均滤波器来减少测量噪声的影响,并进一步说明其对阈值设计的影响。提出了基于这些分析的警报设计程序,用于快速计算警报阈值。提供了一个示例来说明所提出方法的有效性。

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