{"title":"根据风险指标选择警报死区和延迟计时器及其连接，以消除骚扰警报","authors":"Zheng Zhang, Jiandong Wang, Yan Qi","doi":"10.1016/j.conengprac.2024.106113","DOIUrl":null,"url":null,"abstract":"<div><div>Alarm systems are crucial to the safety and efficiency of industrial processes, but they may be contaminated by massive nuisance alarms. Alarm deadbands and delay timers with their connections are often used to remove nuisance alarms. However, different process variables are with different characteristics of alarm events, so that it is necessary to determine which one of these alarm systems is the most appropriate for a given process variable. This paper proposes a method to select the most suitable alarm system for a given process variable, by formulating an indicator to evaluate the risk of missed abnormality detections. The technical challenge is about how to calculate the uncertainty of the risk indicator. The Bayesian estimation approach is utilized to yield confidence intervals of the risk indicator for addressing the technical challenge. The alarm system with the lowest risk indicator is chosen as the most appropriate one. Numerical and industrial examples are presented to support the proposed method.</div></div>","PeriodicalId":50615,"journal":{"name":"Control Engineering Practice","volume":"153 ","pages":"Article 106113"},"PeriodicalIF":5.4000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Selection of alarm deadbands and delay timers with their connections based on risk indicators for removing nuisance alarms\",\"authors\":\"Zheng Zhang, Jiandong Wang, Yan Qi\",\"doi\":\"10.1016/j.conengprac.2024.106113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Alarm systems are crucial to the safety and efficiency of industrial processes, but they may be contaminated by massive nuisance alarms. Alarm deadbands and delay timers with their connections are often used to remove nuisance alarms. However, different process variables are with different characteristics of alarm events, so that it is necessary to determine which one of these alarm systems is the most appropriate for a given process variable. This paper proposes a method to select the most suitable alarm system for a given process variable, by formulating an indicator to evaluate the risk of missed abnormality detections. The technical challenge is about how to calculate the uncertainty of the risk indicator. The Bayesian estimation approach is utilized to yield confidence intervals of the risk indicator for addressing the technical challenge. The alarm system with the lowest risk indicator is chosen as the most appropriate one. Numerical and industrial examples are presented to support the proposed method.</div></div>\",\"PeriodicalId\":50615,\"journal\":{\"name\":\"Control Engineering Practice\",\"volume\":\"153 \",\"pages\":\"Article 106113\"},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Control Engineering Practice\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0967066124002727\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Control Engineering Practice","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967066124002727","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Selection of alarm deadbands and delay timers with their connections based on risk indicators for removing nuisance alarms
Alarm systems are crucial to the safety and efficiency of industrial processes, but they may be contaminated by massive nuisance alarms. Alarm deadbands and delay timers with their connections are often used to remove nuisance alarms. However, different process variables are with different characteristics of alarm events, so that it is necessary to determine which one of these alarm systems is the most appropriate for a given process variable. This paper proposes a method to select the most suitable alarm system for a given process variable, by formulating an indicator to evaluate the risk of missed abnormality detections. The technical challenge is about how to calculate the uncertainty of the risk indicator. The Bayesian estimation approach is utilized to yield confidence intervals of the risk indicator for addressing the technical challenge. The alarm system with the lowest risk indicator is chosen as the most appropriate one. Numerical and industrial examples are presented to support the proposed method.
期刊介绍：
Control Engineering Practice strives to meet the needs of industrial practitioners and industrially related academics and researchers. It publishes papers which illustrate the direct application of control theory and its supporting tools in all possible areas of automation. As a result, the journal only contains papers which can be considered to have made significant contributions to the application of advanced control techniques. It is normally expected that practical results should be included, but where simulation only studies are available, it is necessary to demonstrate that the simulation model is representative of a genuine application. Strictly theoretical papers will find a more appropriate home in Control Engineering Practice''s sister publication, Automatica. It is also expected that papers are innovative with respect to the state of the art and are sufficiently detailed for a reader to be able to duplicate the main results of the paper (supplementary material, including datasets, tables, code and any relevant interactive material can be made available and downloaded from the website). The benefits of the presented methods must be made very clear and the new techniques must be compared and contrasted with results obtained using existing methods. Moreover, a thorough analysis of failures that may happen in the design process and implementation can also be part of the paper.
The scope of Control Engineering Practice matches the activities of IFAC.
Papers demonstrating the contribution of automation and control in improving the performance, quality, productivity, sustainability, resource and energy efficiency, and the manageability of systems and processes for the benefit of mankind and are relevant to industrial practitioners are most welcome.
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