{"title":"Automated diagnosis for the time of flight scintillation array: development of a structural and behavioral reasoning system","authors":"R. Paasch, A. Agogino","doi":"10.1109/CAIA.1992.200013","DOIUrl":null,"url":null,"abstract":"The development and implementation are described of the time of flight validation system, a system for the automated diagnosis of a large-scale nuclear physics detector. The diagnostic system is multi-leveled, combining a single monitoring level based on statistical methods with two model-based diagnostic levels, one operating on structural information and the other using both structural and behavioral models. The later diagnostic level uses a qualitative data model of the detector to provide evidence that is mapped on a continuous basis from observation values to belief in component failure hypotheses. The general architecture is scalable.<<ETX>>","PeriodicalId":388685,"journal":{"name":"Proceedings Eighth Conference on Artificial Intelligence for Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Eighth Conference on Artificial Intelligence for Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAIA.1992.200013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The development and implementation are described of the time of flight validation system, a system for the automated diagnosis of a large-scale nuclear physics detector. The diagnostic system is multi-leveled, combining a single monitoring level based on statistical methods with two model-based diagnostic levels, one operating on structural information and the other using both structural and behavioral models. The later diagnostic level uses a qualitative data model of the detector to provide evidence that is mapped on a continuous basis from observation values to belief in component failure hypotheses. The general architecture is scalable.<>