{"title":"Validation of the Technician's Assister System (expert system)","authors":"J. Molnár, C.F. Sarteschi","doi":"10.1109/MESPP.1990.122707","DOIUrl":null,"url":null,"abstract":"The Technician's Assister System (TAS) was developed to demonstrate the feasibility for adaptation to the SQS-53B sonar system's diagnostics. The prototype expert system incorporates a hierarchical knowledge base design. TAS defines diagnostic testing sequences for system maintenance. Validation of the resulting prototype was performed. TAS provided internal utilities for knowledge base verification. A knowledge-base editor was used to ensure syntactic conformity. The knowledge-base compiler provided diagnostic tests aiding in knowledge accuracy and verified the syntax. A built-in simulator confirmed the data continuity of knowledge base. Data were validated by system-generated rulesets and ambiguity set information. A test-case study of the left correlator database is described. The validation process is divided into three areas: validation of the knowledge base, simulation, and field testing. Expert confirmation of the knowledge base and simulation test information was essential for validation.<<ETX>>","PeriodicalId":232478,"journal":{"name":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","volume":"90 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings [1990] IEEE Conference on Managing Expert System Programs and Projects","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MESPP.1990.122707","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
The Technician's Assister System (TAS) was developed to demonstrate the feasibility for adaptation to the SQS-53B sonar system's diagnostics. The prototype expert system incorporates a hierarchical knowledge base design. TAS defines diagnostic testing sequences for system maintenance. Validation of the resulting prototype was performed. TAS provided internal utilities for knowledge base verification. A knowledge-base editor was used to ensure syntactic conformity. The knowledge-base compiler provided diagnostic tests aiding in knowledge accuracy and verified the syntax. A built-in simulator confirmed the data continuity of knowledge base. Data were validated by system-generated rulesets and ambiguity set information. A test-case study of the left correlator database is described. The validation process is divided into three areas: validation of the knowledge base, simulation, and field testing. Expert confirmation of the knowledge base and simulation test information was essential for validation.<>