Adaptive design of delay timers for non-stationary process variables based on change detection and Bayesian estimation

IF 3.3 2区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS Journal of Process Control Pub Date : 2025-03-16 DOI:10.1016/j.jprocont.2025.103410
Shuo Shi, Jiandong Wang
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Abstract

In industrial alarm systems, delay timers are embedded modules to deal with nuisance alarms. However, most existing approaches for the design of delay timers make an assumption that process variables are stationary distributed, so that designed delay timers may not achieve the desired performance on false alarm rates (FAR) and missed alarm rates (MAR) for non-stationary process variables. Motivated by such a problem, this paper proposes an adaptive approach that updates delay timer parameters to control the number of nuisance alarms. Two main technical issues are addressed. For the first issue of whether delay timer parameters need to be updated, three cases of updating delay timer parameters are formulated according to the changes in alarm durations or intervals and the conditions of process variables. For the second issue of determining time instants to update delay timer parameters, the Bayesian estimation technique is exploited based on confidence intervals of FAR or MAR to be achieved. The proposed approach is illustrated by industrial and numerical examples, showing its necessity via a comparison with conventional delay timers whose parameters are fixed.
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来源期刊
Journal of Process Control
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.
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