{"title":"MODEST: a model-based diagnostic expert system","authors":"Y. W. Purna, Takahira Yamaguchi","doi":"10.1109/TAI.1994.346426","DOIUrl":null,"url":null,"abstract":"Describes work in progress on developing a diagnostic expert system called MODEST (MOdel-based Diagnostic Expert SysTem). MODEST has been being developed for the purpose of providing a robust framework for diagnostic expert systems. It is built based on the paradigm of model-based diagnosis, dividing the task of diagnosis into three subtasks (namely, hypothesis generation, hypothesis testing and hypothesis classification) and exploiting multifarious knowledge and strategies to perform each subtask. So far, the hypothesis generation and testing parts of MODEST have been successfully implemented and tested in diagnosing possible faults in the domain of refrigeration plants, with promising results.<<ETX>>","PeriodicalId":262014,"journal":{"name":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1994.346426","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
Describes work in progress on developing a diagnostic expert system called MODEST (MOdel-based Diagnostic Expert SysTem). MODEST has been being developed for the purpose of providing a robust framework for diagnostic expert systems. It is built based on the paradigm of model-based diagnosis, dividing the task of diagnosis into three subtasks (namely, hypothesis generation, hypothesis testing and hypothesis classification) and exploiting multifarious knowledge and strategies to perform each subtask. So far, the hypothesis generation and testing parts of MODEST have been successfully implemented and tested in diagnosing possible faults in the domain of refrigeration plants, with promising results.<>