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  • 标题:An enhanced methodology of Fault Detection and Diagnosis based on Digital Twin
  • 本地全文:下载
  • 作者:Farah Abdoune ; Maroua Nouiri ; Olivier Cardin
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:19
  • 页码:43-48
  • DOI:10.1016/j.ifacol.2022.09.181
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractDigital Twins (DT) have been used in a variety of industrial sectors and application areas in recent years. To avoid downtime and problems in manufacturing, DTs strive for real-time monitoring and optimization and anticipate the future status of the physical twin. Fault Detection and Diagnosis (FDD) is a maintenance field that has attracted the interest of the control and automation community as a viable means of ensuring the dependability and safety of industrial systems. An enhanced FDD methodology thought DT can provide significant benefits. The main contribution of this research focuses on the exploration of DT for FDD methodology and provides also a guideline of different alternatives in each step and highlights the importance of DT.
  • 关键词:KeywordsDigital TwinFault detectionFault diagnosismonitoringsupervision
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