Abstract Alarm systems designed according to engineering and safety considerations provide the primary source of information for operators when it comes to abnormal situations. Still, alarm systems have rarely been exploited for fault detection and diagnosis. Recent work has demonstrated the benefits of alarm logs for fault detection and diagnosis. However, alarm settings conceived during the alarm design stage can also be integrated into fault detection and diagnosis methods. This paper suggests the use of those alarm settings in the preprocessing of the process measurements, proposing a normalization based on the alarm thresholds of each process variable. Normalization is needed to render process measurements dimensionless for multivariate analysis. While common normalization approaches such as standardization depend on the historical process measurements available, the proposed alarm-range normalization is based on acceptable variations of the process measurements. An industrial case study of an offshore oil gas separation plant is used to demonstrate that the alarm-range normalization improves the robustness of popular methods for fault detection, fault isolation, and fault identification.

中文翻译：

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通过报警范围归一化将报警设计集成到故障检测和诊断中

摘要 根据工程和安全考虑设计的报警系统为操作员在出现异常情况时提供主要信息来源。尽管如此，警报系统很少被用于故障检测和诊断。最近的工作已经证明了警报日志对于故障检测和诊断的好处。然而，在报警设计阶段构思的报警设置也可以集成到故障检测和诊断方法中。本文建议在过程测量的预处理中使用这些警报设置，提出基于每个过程变量的警报阈值的标准化。需要归一化来为多变量分析呈现无量纲的过程测量。虽然诸如标准化之类的常见标准化方法取决于可用的历史过程测量，但建议的警报范围标准化基于过程测量的可接受变化。一个海上油气分离厂的工业案例研究被用来证明报警范围标准化提高了故障检测、故障隔离和故障识别的流行方法的鲁棒性。