{"title":"基于模糊故障树分析的传输节点可靠性研究","authors":"J. Z. Szabó, P. Bakucz","doi":"10.1109/SACI51354.2021.9465556","DOIUrl":null,"url":null,"abstract":"In this work to be introduced a fuzzy fault tree real time algorithm to identify reliability of highly autonomous driving (HAD) redundant system of a traffic node. The fuzzyfication of the fault tree procedure was realized by expressing the basic events with a membership function. Logical gates had to be generalized based on incoming fuzzy events. Node dynamics were discretized in the form of a Laplace graph. The edges of the graph as fuzzy base events and the nodes of the graph as logical gates determine the reliability of the node.","PeriodicalId":321907,"journal":{"name":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Reliability of a Transport Node based on Fuzzy Fault Tree Analysis\",\"authors\":\"J. Z. Szabó, P. Bakucz\",\"doi\":\"10.1109/SACI51354.2021.9465556\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work to be introduced a fuzzy fault tree real time algorithm to identify reliability of highly autonomous driving (HAD) redundant system of a traffic node. The fuzzyfication of the fault tree procedure was realized by expressing the basic events with a membership function. Logical gates had to be generalized based on incoming fuzzy events. Node dynamics were discretized in the form of a Laplace graph. The edges of the graph as fuzzy base events and the nodes of the graph as logical gates determine the reliability of the node.\",\"PeriodicalId\":321907,\"journal\":{\"name\":\"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI51354.2021.9465556\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI51354.2021.9465556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reliability of a Transport Node based on Fuzzy Fault Tree Analysis
In this work to be introduced a fuzzy fault tree real time algorithm to identify reliability of highly autonomous driving (HAD) redundant system of a traffic node. The fuzzyfication of the fault tree procedure was realized by expressing the basic events with a membership function. Logical gates had to be generalized based on incoming fuzzy events. Node dynamics were discretized in the form of a Laplace graph. The edges of the graph as fuzzy base events and the nodes of the graph as logical gates determine the reliability of the node.