Improved similarity analysis of industrial alarm flood sequences by considering alarm correlations

IF 3.3 2区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

Journal of Process Control Pub Date : 2024-08-21 DOI:10.1016/j.jprocont.2024.103295

Xiangxiang Zhang , Wenkai Hu , Ahmad W. Al-Dabbagh , Jiandong Wang

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引用次数: 0

Abstract

Alarm floods are leading issues that compromise the efficiency of industrial alarm systems and are identified as major causes of many industrial accidents. As an advanced technique to handle alarm floods, sequence alignment based similarity analysis has been developed to match alarm flood sequences, and thus can help with further root cause identification and early warning of alarm floods. However, existing methods based on biological sequence alignment algorithms ignore the relations between alarm occurrences, and thus may cause incorrect matches or mismatches of alarms when comparing two flood sequences. Accordingly, this paper proposes a new alarm flood similarity analysis method based on global vectors and Move–Split–Merge (MSM) distance. The contributions are mainly twofold: (1) An alarm encoding model based on modified global vectors is devised to convert alarm sequences into numerical vectors that reflect the correlations of alarms; (2) a similarity analysis method based on the modified MSM distance is proposed for comparison of encoded alarm flood sequences of unequal lengths. The effectiveness of the proposed method is demonstrated through a case study with a publicly accessible industrial model for Vinyl Acetate Monomer.

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通过考虑警报相关性改进工业警报洪水序列的相似性分析

警报泛滥是影响工业警报系统效率的主要问题，也是许多工业事故的主要原因。作为处理报警洪水的先进技术，基于序列比对的相似性分析已被开发出来，用于匹配报警洪水序列，从而有助于进一步识别报警洪水的根本原因并发出预警。然而，现有的基于生物序列比对算法的方法忽略了警报发生之间的关系，因此在比较两个洪水序列时可能会造成警报的不正确匹配或不匹配。因此，本文提出了一种新的基于全局矢量和移动-分割-合并（MSM）距离的洪水警报相似性分析方法。本文的贡献主要体现在两个方面：（1）设计了一种基于修正的全局矢量的警报编码模型，将警报序列转换为反映警报相关性的数字矢量；（2）提出了一种基于修正的 MSM 距离的相似性分析方法，用于比较长度不等的编码警报洪水序列。通过对公开的醋酸乙烯酯单体工业模型进行案例研究，证明了所提方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Process Control 工程技术-工程：化工

CiteScore

7.00

自引率

11.90%

发文量

159

审稿时长

74 days

期刊介绍： This international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others. Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques. Topics covered include: • Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methods Advanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.