{"title":"Stochastic Scenario Exploration with Constrained Parameters for Aircraft System Virtual Testing","authors":"Dennis Hillig, F. Thielecke","doi":"10.1109/ISSE54508.2022.10005358","DOIUrl":null,"url":null,"abstract":"Future aircraft concepts are characterized by new technologies and highly automated, complex systems. Additionally, the time-to-market should improve to satisfy the demands. This emphasizes the role of new verification & validation methods (V&V) for future systems. There is a particular need to test for unexpected failures, but this typically includes the most effortful tasks also. Classical testing is a major method in that context and immense test spaces amplify the work- and time-intensive nature. Testing is conducted at late stages of the development process, such that found failures have a big impact. Therefore, novel test approaches are needed.This paper focuses on virtual testing and new test methods to explore the system behaviour and find unexpected failure scenarios early. A scenario-based approach should reduce the testing complexity by focusing on specific operational procedures. Although engineers can define complex scenarios, it is not trivial to construct consistent variations if parameters are interdependent. Therefore, the challenge to produce valid scenario variations to create explorative test trajectories is addressed. The presented concept defines symbolic parameters and constraints as part of the scenario modeling, such that computer-aided procedures can generate valid parameter sets. Moreover, an automation procedure is described to select valid stochastic values for exploration. The application of the method is outlined with an aircraft system use case. The concept is intuitive, produces valid results and is a good starting point for the exploration during virtual testing.","PeriodicalId":185183,"journal":{"name":"2022 IEEE International Symposium on Systems Engineering (ISSE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Symposium on Systems Engineering (ISSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSE54508.2022.10005358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Future aircraft concepts are characterized by new technologies and highly automated, complex systems. Additionally, the time-to-market should improve to satisfy the demands. This emphasizes the role of new verification & validation methods (V&V) for future systems. There is a particular need to test for unexpected failures, but this typically includes the most effortful tasks also. Classical testing is a major method in that context and immense test spaces amplify the work- and time-intensive nature. Testing is conducted at late stages of the development process, such that found failures have a big impact. Therefore, novel test approaches are needed.This paper focuses on virtual testing and new test methods to explore the system behaviour and find unexpected failure scenarios early. A scenario-based approach should reduce the testing complexity by focusing on specific operational procedures. Although engineers can define complex scenarios, it is not trivial to construct consistent variations if parameters are interdependent. Therefore, the challenge to produce valid scenario variations to create explorative test trajectories is addressed. The presented concept defines symbolic parameters and constraints as part of the scenario modeling, such that computer-aided procedures can generate valid parameter sets. Moreover, an automation procedure is described to select valid stochastic values for exploration. The application of the method is outlined with an aircraft system use case. The concept is intuitive, produces valid results and is a good starting point for the exploration during virtual testing.