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  • 标题:Timing Aspects in Causality Analysis with Multilevel Flow Modelling
  • 本地全文:下载
  • 作者:Denis Kirchhübel ; Dimitri Lefebvre ; Morten Lind
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:6
  • 页码:649-654
  • DOI:10.1016/j.ifacol.2022.07.201
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractTemporal aspects of multilevel flow modelling (MFM) are important for reasoning about causes and consequences. In particular real time reasoning about sensor data are dependent on proper temporal ordering of events in order to cope with plant dynamics. The purpose of the present paper is to contribute to the further development of the temporal aspects of MFM by explaining how time stamps associated to the measured signals can be used to enhance the causality analysis and infer the possible causes of a sequence of alarms.
  • 关键词:KeywordsFault diagnosisCausality analysisMultilevel flow modelingTiming analysis
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