{"title":"面向故障检测、隔离和恢复的领域特定语言","authors":"M. Vitelli, M. Tipaldi, L. Troiano","doi":"10.1109/SOCPAR.2013.7054156","DOIUrl":null,"url":null,"abstract":"Reliability of complex systems requires to take into account possible failures and strategies to detect and recover from system faults. This leads designers to consider models and algorithms capable of simulating and verifying fault detection, isolation and recovery (FDIR) strategies in different scenarios, characterized by uncertainty and partial information. Different solutions have been proposed. In this paper we present Trouble, a domain specific language aimed at describing and simulating troubleshooting algorithm. Different examples highlight advantages of such an approach.","PeriodicalId":315126,"journal":{"name":"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A domain specific language oriented to fault detection, isolation and recovery\",\"authors\":\"M. Vitelli, M. Tipaldi, L. Troiano\",\"doi\":\"10.1109/SOCPAR.2013.7054156\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reliability of complex systems requires to take into account possible failures and strategies to detect and recover from system faults. This leads designers to consider models and algorithms capable of simulating and verifying fault detection, isolation and recovery (FDIR) strategies in different scenarios, characterized by uncertainty and partial information. Different solutions have been proposed. In this paper we present Trouble, a domain specific language aimed at describing and simulating troubleshooting algorithm. Different examples highlight advantages of such an approach.\",\"PeriodicalId\":315126,\"journal\":{\"name\":\"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOCPAR.2013.7054156\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCPAR.2013.7054156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A domain specific language oriented to fault detection, isolation and recovery
Reliability of complex systems requires to take into account possible failures and strategies to detect and recover from system faults. This leads designers to consider models and algorithms capable of simulating and verifying fault detection, isolation and recovery (FDIR) strategies in different scenarios, characterized by uncertainty and partial information. Different solutions have been proposed. In this paper we present Trouble, a domain specific language aimed at describing and simulating troubleshooting algorithm. Different examples highlight advantages of such an approach.