论文标题
警报相似性度量的分析推导和比较
Analytical Derivation and Comparison of Alarm Similarity Measures
论文作者
论文摘要
工业过程包括许多具有物理或电子互连的设备，变量和子处理。这些互连意味着不同过程变量之间的一定程度的相关性。由于工艺工厂中的大多数警报都是在过程变量上定义的，因此警报也相关。但是，这可能是对操作员的麻烦，因为一个故障可能会触发一个，有时是大的警报。因此，必须查找并纠正相关的警报。在本文中，我们研究了提出的不同方法和技术来衡量警报之间的相关性或相似性。首先根据分析计算相似性指数，然后研究并比较。还使用Monte-Carlo模拟验证了结果。
An industrial process includes many devices, variables, and sub-processes that are physically or electronically interconnected. These interconnections imply some level of correlation between different process variables. Since most of the alarms in a process plant are defined on process variables, alarms are also correlated. However, this can be a nuisance to operators, for one fault might trigger a, sometimes large, number of alarms. So, it is essential to find and correct correlated alarms. In this paper, we study different methods and techniques proposed to measure correlation or similarity between alarms. The similarity indices are first analytically calculated and then studied and compared. The results are also validated using Monte-Carlo simulation.
