文章詳目資料

Journal of Computers EIMEDLINEScopus

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篇名 A Real-Time Monitoring and Diagnosis Method of Production Line Conveyor Chain for Digital Twin
卷期 34:2
作者 Bo LiuYing-Ming Shi
頁次 191-202
關鍵字 digital twinconveyor chaintensionneural networkEIMEDLINEScopus
出刊日期 202304
DOI 10.53106/199115992023043402014

中文摘要

英文摘要

Aiming at the widely used digital production line and facing the digital twinning technology, this paper proposes a real-time monitoring and diagnosis method of the transmission chain status of the production line based on the digital twinning. First of all, the failure and failure mechanism of the conveyor chain is studied, and then a real-time data monitoring method is proposed according to the failure mechanism. On this basis, a data processing and analysis model oriented to the digital twin model is constructed. Then, artificial intelligence algorithm is incorporated into the model to improve the ability of the twin model to independently judge the failure and failure of the conveyor chain. Finally, the feasibility and efficiency of the proposed method are verified by experiments. The accuracy rate of fault diagnosis reaches 98.02%.

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