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  • 标题:Extension of a telemedicine framework for analysis of industrial machinery data
  • 本地全文:下载
  • 作者:Michael Albert ; Michael Albert ; Doris Aschenbrenner
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:30
  • 页码:314-319
  • DOI:10.1016/j.ifacol.2016.11.154
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Abstract: To extend our system for teleoperation and telemaintenance of industrial machinery we combine it with a rule based analysis framework from our telemedicine system. The goal is to provide a remote expert the ability to analyze industrial machinery data for failure diagnosis or optimization of production processes. We describe the changes we made to the rule based system to be able to fulfill given tasks for data analysis. We processed every task with data recorded from a machine during production and show the results and insights from analyzing the data.
  • 关键词:KeywordsTelematicsManufacturingRule-based systemsManipulatorsFault diagnosis
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