{"title":"技术员辅助系统(专家系统)的验证","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":"{\"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}","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}
Validation of the Technician's Assister System (expert system)
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.<>