M. Subramanian, S. Punithan, R. Karthikeyan, P. S. Sunil Kumar
{"title":"Digital Triplet of a Industrial Multistage Centrifugal Pump","authors":"M. Subramanian, S. Punithan, R. Karthikeyan, P. S. Sunil Kumar","doi":"10.1109/ICCCT53315.2021.9711888","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"4 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCT53315.2021.9711888","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.