{"title":"在随机Petri网络形式中嵌入蒙特卡罗模拟以评估核安全系统的可用性","authors":"D. Ionescu, E. Zio, A. Constantinescu","doi":"10.1080/713926642","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to illustrate the combined use of generalized stochastic Petri networks (GSPNs) and Monte Carlo simulation (MCS) in reliability and availability analysis. A GSPN/MCS model is developed for the evaluation of the availability of the high-pressure injection system (HPIS) of a pressurized water reactor (PWR). Because of the high reliability of the components, a forced Monte Carlo simulation scheme was adopted. The system performance is quantified in terms of unavailability, mean down time and mean number of failures. Various alternatives of preventive maintenance are investigated, including the effect of changing the time intervals between two consecutive inspections.","PeriodicalId":212131,"journal":{"name":"Risk Decision and Policy","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Embedding Monte Carlo simulation within the stochastic Petri network formalism for the evaluation of the availability of a nuclear safety system\",\"authors\":\"D. Ionescu, E. Zio, A. Constantinescu\",\"doi\":\"10.1080/713926642\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study is to illustrate the combined use of generalized stochastic Petri networks (GSPNs) and Monte Carlo simulation (MCS) in reliability and availability analysis. A GSPN/MCS model is developed for the evaluation of the availability of the high-pressure injection system (HPIS) of a pressurized water reactor (PWR). Because of the high reliability of the components, a forced Monte Carlo simulation scheme was adopted. The system performance is quantified in terms of unavailability, mean down time and mean number of failures. Various alternatives of preventive maintenance are investigated, including the effect of changing the time intervals between two consecutive inspections.\",\"PeriodicalId\":212131,\"journal\":{\"name\":\"Risk Decision and Policy\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Risk Decision and Policy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/713926642\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Risk Decision and Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/713926642","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Embedding Monte Carlo simulation within the stochastic Petri network formalism for the evaluation of the availability of a nuclear safety system
The purpose of this study is to illustrate the combined use of generalized stochastic Petri networks (GSPNs) and Monte Carlo simulation (MCS) in reliability and availability analysis. A GSPN/MCS model is developed for the evaluation of the availability of the high-pressure injection system (HPIS) of a pressurized water reactor (PWR). Because of the high reliability of the components, a forced Monte Carlo simulation scheme was adopted. The system performance is quantified in terms of unavailability, mean down time and mean number of failures. Various alternatives of preventive maintenance are investigated, including the effect of changing the time intervals between two consecutive inspections.
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