文章基本信息

标题：Distributed Diagnostics, Prognostics and Maintenance Planning: Realizing Industry 4.0
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作者：Amit Kumar Jain ; Priyansha Chouksey ; Ajith Kumar Parlikad 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：3
页码：354-359
DOI：10.1016/j.ifacol.2020.11.057
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, a novel distributed yet integrated approach for diagnostics and prognostics is presented. An experimental study is conducted to validate the performance. Results showed that distributed prognostics give better performance in leaser computational time. Also, the proposed approach helps in making the results of the machine learning techniques comprehensible and more accurate. These results will be handy in arriving at predictive maintenance schedule considering the criticality of the system, the dependency of the components, available maintenance resources and confidence level in the results of the prognostic.
关键词：KeywordsIndustry 4.0distributed approachdiagnosticprognosticpredictive maintenance planning