{"title":"考虑关联关系的综合复杂系统安全分析","authors":"Hongli Wang, D. Zhong, T. Zhao, Fuchun Ren","doi":"10.1109/ICRSE.2017.8030750","DOIUrl":null,"url":null,"abstract":"System safety is analyzed from inherent network topology structure of integrated complex system. This paper discusses the influences of system inherent topology structure and the statistical property on fault propagation. Fault propagation model is established and the fault propagation intensity is defined as the weight of the edge among nodes considering the network statistical information. The highest risk path of fault propagation and critical nodes are got through qualitative fault propagation analysis. Finally an application example is illustrated to indicate the practicability and validity of the proposed method, which can be used as important basis for safety assessment and fault prevention.","PeriodicalId":317626,"journal":{"name":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Safety analysis to integrated complex system considering correlation relationship\",\"authors\":\"Hongli Wang, D. Zhong, T. Zhao, Fuchun Ren\",\"doi\":\"10.1109/ICRSE.2017.8030750\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"System safety is analyzed from inherent network topology structure of integrated complex system. This paper discusses the influences of system inherent topology structure and the statistical property on fault propagation. Fault propagation model is established and the fault propagation intensity is defined as the weight of the edge among nodes considering the network statistical information. The highest risk path of fault propagation and critical nodes are got through qualitative fault propagation analysis. Finally an application example is illustrated to indicate the practicability and validity of the proposed method, which can be used as important basis for safety assessment and fault prevention.\",\"PeriodicalId\":317626,\"journal\":{\"name\":\"2017 Second International Conference on Reliability Systems Engineering (ICRSE)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Second International Conference on Reliability Systems Engineering (ICRSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICRSE.2017.8030750\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Second International Conference on Reliability Systems Engineering (ICRSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRSE.2017.8030750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Safety analysis to integrated complex system considering correlation relationship
System safety is analyzed from inherent network topology structure of integrated complex system. This paper discusses the influences of system inherent topology structure and the statistical property on fault propagation. Fault propagation model is established and the fault propagation intensity is defined as the weight of the edge among nodes considering the network statistical information. The highest risk path of fault propagation and critical nodes are got through qualitative fault propagation analysis. Finally an application example is illustrated to indicate the practicability and validity of the proposed method, which can be used as important basis for safety assessment and fault prevention.