工业多级离心泵的数字三元组

M. Subramanian, S. Punithan, R. Karthikeyan, P. S. Sunil Kumar
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引用次数: 0

摘要

随着全球工业的发展,人们希望将现有技术与机器学习功能相结合,以将功能提升到更高的认知水平。数字孪生在这种整合过程中发挥了重要作用,以满足工业革命的要求。数字三重是数字孪生方法的一种改进,通过引入智能活动层来获得,从而满足工业4.0的标准要求。目前正在进行许多研究活动,其基础是发展、实施和测试,以便将所采用的技术纳入工业应用。本文阐述了机器学习与系统数字孪生相结合的分类模型。此外,通过引入传感器值和机器状态,启用了一个安全特性。通过性能测试来测试所实现的机器学习模块的优势,并验证了该过程的实时应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Triplet of a Industrial Multistage Centrifugal Pump
As industries are increasing worldwide it is desired to combine existing technology with Machine Learning Features in order to enhance the functionality to higher cognitive level. Digital Twins places a major role in such an integration process to meet the requirement of industrial revolution. Digital Triplet is one such improvement of digital twin methodology which is obtained by introducing an intelligent activity layer, thereby meeting standard requirement of Industry 4.0. Many research activities are being carried out based on development, implementation and testing for involving the adopted technique in the industrial applications. This paper explains the classification model of combined ML and System Digital Twin. Also, a security feature was enabled by introducing a sensor value and machine status. Performance measures are carried out to test the advantages of ML module implemented and also real time applications of this process also validated.
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