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An adaptive pre-warning method based on trend monitoring: Application to an oil refining process

机译：基于趋势监测的自适应预警方法：对炼油过程的应用

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摘要

The feedstock and products in high-risk processes like oil refining are often flammable, corrosive and explosive, thus any faults that may occur during the operation can lead to significant economic losses and possibly human lives. One expects that the fault symptoms are detected as early as possible by properly monitoring the process status with pre-warning functions to limit unexpected abnormal behaviors. To accomplish this task, an adaptive pre-warning method based on trend monitoring is proposed in this paper. It captures the varying trend of process variables through online monitoring and an adaptive pre-warning scheme is used to provide early warnings when the observable signals are recognized to be non-steady. The proposed method also includes an adaptive weighting scheme to provide a processing priority for variables for which a pre-warning signal is triggered in a short time period. The effectiveness of the method is illustrated with two field case studies taken from oil refining applications. (C) 2019 Elsevier Ltd. All rights reserved.
机译：炼油等高风险过程中的原料和产品通常是易燃的，腐蚀性和爆炸性的，因此在运营期间可能发生的任何故障可能导致显着的经济损失和可能的人类生活。人们希望通过使用预警函数正确监控进程状态来尽早检测到故障症状以限制意外的异常行为。为完成此任务，本文提出了一种基于趋势监测的自适应预警方法。它通过在线监测捕获过程变量的变化趋势，并且当可观察信号被识别为非稳定时，使用自适应预警方案来提供早期警告。该提出的方法还包括自适应加权方案，以提供用于在短时间内触发预警信号的变量的处理优先级。该方法的有效性示于了从炼油应用中取出的两个现场案例研究。 （c）2019年elestvier有限公司保留所有权利。

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