{"title":"Object-oriented model-based reasoning for diagnosing automated manufacturing systems","authors":"D.I. Kerpelman","doi":"10.1109/ISIC.1988.65517","DOIUrl":null,"url":null,"abstract":"In automated manufacturing, availability is the percentage of time that a production system is functioning properly. The author addresses the problems of availability by exploring the feasibility of a class of diagnosis algorithm. To develop this approach, a range of theory used in other areas was surveyed and synthesized. Petri net analysis was applied to fault detection. Rule-based inference and model-based reasoning were applied to failure isolation and hypothesis validation. A large part of the effort was the use of object-oriented software engineering to integrate the pieces into a unified algorithm. A software system was developed to realize the advanced algorithm and applied to a case study manufacturing subsystem for evaluation and analysis.<<ETX>>","PeriodicalId":155616,"journal":{"name":"Proceedings IEEE International Symposium on Intelligent Control 1988","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE International Symposium on Intelligent Control 1988","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.1988.65517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In automated manufacturing, availability is the percentage of time that a production system is functioning properly. The author addresses the problems of availability by exploring the feasibility of a class of diagnosis algorithm. To develop this approach, a range of theory used in other areas was surveyed and synthesized. Petri net analysis was applied to fault detection. Rule-based inference and model-based reasoning were applied to failure isolation and hypothesis validation. A large part of the effort was the use of object-oriented software engineering to integrate the pieces into a unified algorithm. A software system was developed to realize the advanced algorithm and applied to a case study manufacturing subsystem for evaluation and analysis.<>