Real-time risk analysis of safety systems

Meel, Anjana; Seider, Warren D.

doi:10.1016/j.compchemeng.2007.03.006

Cited by 62 publications

(22 citation statements)

References 14 publications

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“…This approach aims at estimating the dynamic probabilities of accident sequences, including near misses and incident data (named as Accident Sequence Precursors -ASP) as well as real-time data from processes. This method was applied to several case studies, such as CSTR reactor safety systems (Meel and Seider, 2006), Ethyl Benzene process (Meel and Seider, 2008), and alarm systems for process equipment (Pariyani et al, 2012a(Pariyani et al, , 2012b.…”

Section: Dynamic Risk Assessment Methodology (Dra)mentioning

confidence: 99%

Towards dynamic risk analysis: A review of the risk assessment approach and its limitations in the chemical process industry

et al. 2016

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Section: Dynamic Risk Assessment Methodology (Dra)mentioning

confidence: 99%

Towards dynamic risk analysis: A review of the risk assessment approach and its limitations in the chemical process industry

et al. 2016

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“…Benzene, in the D1 distillate, is recycled to R1. A mixture of EB and DEB in the D1 bottoms product is fed to D2, with EB recovered in the distillate, and DEB recycled to R2 [12]. …”

Section: Functional Demonstrationmentioning

confidence: 99%

A fuzzy dual expert system for managing situation awareness in a safety supervisory system

Naderpour

2012

2012 IEEE International Conference on Fuzzy Systems

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Safety supervisory systems continue to increase in degree of automation and complexity as operators are decreasing. As a result, each operator must be able to comprehend and respond to an ever increasing amount of available risky status and alert information. They generally have no difficulty in performing their tasks physically but they are stressed by the task of understanding what is going on in the situation. So in the last two decades, situation awareness has been recognized as a critical foundation for successful decision making across a broad range of complex and dynamic systems. This paper develops a fuzzy dual expert system based approach to enhance situation awareness. The proposed approach has ability to support the operators' understanding and assessing the situations, and to deal with uncertainties, applying fuzzy risk assessment concepts.

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“…Steps (i) and (ii) are presented in Part I and step (iii) in Part II. These articles extend the models that we introduced in our previous work 15,20,21 to estimate the probabilities of occurrence of accident scenarios using accident precursor data. They utilize large alarm databases, including many near-misses associated with process and quality variables, for the projection of unsafe plant conditions as well as quality problems.…”

Section: Introductionmentioning

confidence: 95%

Dynamic risk analysis using alarm databases to improve process safety and product quality: Part I—Data compaction

et al. 2011

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In most industrial processes, vast amounts of data are recorded through their distributed control systems (DCSs) and emergency shutdown (ESD) systems. This twopart article presents a dynamic risk analysis methodology that uses alarm databases to improve process safety and product quality. The methodology consists of three steps: (i) tracking of abnormal events over an extended period of time, (ii) event-tree and set-theoretic formulations to compact the abnormal-event data, and (iii) Bayesian analysis to calculate the likelihood of the occurrence of incidents. Steps (i) and (ii) are presented in Part I and step (iii) in Part II. The event-trees and set-theoretic formulations allow compaction of massive numbers (millions) of abnormal events. For each abnormal event, associated with a process or quality variable, its path through the safety or quality systems designed to return its variable to the normal operation range is recorded. Event trees are prepared to record the successes and failures of each safety or quality system as it acts on each abnormal event. Over several months of operation, on the order of 10 6 paths through event trees are stored. The new set-theoretic structure condenses the paths to a single compact data record, leading to significant improvement in the efficiency of the probabilistic calculations and permitting Bayesian analysis of large alarm databases in real time. As a case study, steps (i) and (ii) are applied to an industrial, fluidized-catalytic-cracker.

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Real-time risk analysis of safety systems

Cited by 62 publications

References 14 publications

Towards dynamic risk analysis: A review of the risk assessment approach and its limitations in the chemical process industry

Towards dynamic risk analysis: A review of the risk assessment approach and its limitations in the chemical process industry

A fuzzy dual expert system for managing situation awareness in a safety supervisory system

Dynamic risk analysis using alarm databases to improve process safety and product quality: Part I—Data compaction

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