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A New Approach to Design Alarm Filters Using the Plant and Controller Knowledge
Industrial & Engineering Chemistry Research ( IF 3.8 ) Pub Date : 2021-03-01 , DOI: 10.1021/acs.iecr.0c05523
Mohammad Hossein Roohi 1 , Tongwen Chen 1 , Zhe Guan 2 , Toru Yamamoto 3
Affiliation  

Alarm systems are of paramount importance to the safety and proficiency of process industries. These systems aim to notify the plant operators of any possible equipment malfunction or undesired situation. An imperfect alarm system may announce false alarms in the normal operation mode or fail to raise alarms in case of some abnormalities. One mechanism for improving alarm systems is alarm filtering, which has already been addressed in the literature owing to its popularity in industries. The focus of previous research was mostly on process variables with statistically independent variables. This, however, is not aligned with many practical situations where the acquired variables are originated from closed-loop control systems. In this paper, we propose a new method for obtaining optimal filter coefficients by incorporating the knowledge of plant and control systems while relaxing the independence assumption. The design objective is to minimize the rates of missed and false alarms, which are commonly used measures for performance evaluation of alarm systems. The superiority of the proposed method over the conventional one is demonstrated via a simulation case study.

中文翻译:

利用工厂和控制器知识设计警报过滤器的新方法

警报系统对于过程工业的安全性和熟练度至关重要。这些系统旨在将任何可能的设备故障或不良情况通知工厂操作员。不完善的警报系统可能会在正常操作模式下发出虚假警报,或者在某些异常情况下无法发出警报。改进警报系统的一种机制是警报过滤,由于其在工业中的流行,文献中已经对其进行了讨论。以前的研究重点主要放在具有统计独立变量的过程变量上。但是,这与所获取的变量源自闭环控制系统的许多实际情况不符。在本文中,我们提出了一种通过融合工厂和控制系统知识,同时放宽独立性假设来获得最佳滤波器系数的新方法。设计目标是使遗漏和误警报的发生率最小化,这是警报系统性能评估的常用方法。通过仿真案例研究证明了所提出方法相对于传统方法的优越性。
更新日期:2021-03-10
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