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- W4386474936 abstract "With the rapid development of big data foundation technology and data association mining technology, equipment design, use, management, improvement and upgrading become more digital, networked and intelligent. This change puts forward newer and higher requirements for real-time Condition Monitoring, fault diagnosis and life prediction in the process of equipment life cycle management. By exploring the application scope and key technology of digital twinning technology in the data management of equipment life cycle process, we can effectively meet the new requirements of the big data era for the data management of equipment life cycle, at the same time, it can provide reliable decision support for many problems in equipment life cycle management by exploring the challenges and difficulties in the application of digital twinning technology." @default.
- W4386474936 created "2023-09-07" @default.
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- W4386474936 date "2023-05-01" @default.
- W4386474936 modified "2023-09-27" @default.
- W4386474936 title "Research on equipment life cycle data management technology based on digital twinning" @default.
- W4386474936 doi "https://doi.org/10.1109/icnetic59568.2023.00015" @default.
- W4386474936 hasPublicationYear "2023" @default.
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