{"title":"Quantitative examples of safety assessment using logical-probabilistic methods","authors":"I. Ryabinin, A. Strukov","doi":"10.1504/IJRAM.2018.10011305","DOIUrl":null,"url":null,"abstract":"The article presents examples of solving the tasks of analysis of safety of complex technical systems by using logical-probabilistic methods (LPM). LPM are characterised by sufficient visualisation and simplicity of formalisation of the hazardous state of the object in the form of the shortest paths of hazardous state or hazardous state scenario. Parametric representation of logical functions (Boolean sum and products of initiating events and initiating conditions) is carried out using the methods of orthogonalisation. Determination of individual and total contribution of events in probability of realisation of a dangerous condition can allow you to plan the activities to ensure the safety state of the object. In this article the examples are being solved with the use of ARBITR software.","PeriodicalId":35420,"journal":{"name":"International Journal of Risk Assessment and Management","volume":"21 1","pages":"4"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Risk Assessment and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJRAM.2018.10011305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
引用次数: 6
Abstract
The article presents examples of solving the tasks of analysis of safety of complex technical systems by using logical-probabilistic methods (LPM). LPM are characterised by sufficient visualisation and simplicity of formalisation of the hazardous state of the object in the form of the shortest paths of hazardous state or hazardous state scenario. Parametric representation of logical functions (Boolean sum and products of initiating events and initiating conditions) is carried out using the methods of orthogonalisation. Determination of individual and total contribution of events in probability of realisation of a dangerous condition can allow you to plan the activities to ensure the safety state of the object. In this article the examples are being solved with the use of ARBITR software.
期刊介绍：
The IJRAM is an interdisciplinary and refereed journal that provides cross learning between: - Different business and economics, as well as scientific and technological, disciplines - Energy industries, environmental and ecological systems - Safety, public health and medical services - Software services, reliability and safety
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