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Abstract - The term ‘digital twin’ was first coined in product lifecycle management in 2003, when digital representations of physical products were still in their infancy. With the advance of computing power and the Internet of Things, digital twins are now gaining traction across industries, including Textiles. They were recently named one of the top ten strategic technology trends in 2018 by Gartner. It is a dynamic virtual representation of a device, which is continuously fed with data from embedded sensors and software and it gives an accurate real-time status of the physical device. The goal of this paper is to summaries the implementation of Digital Twin Technology in Textile industries to identify the defects of machines used to convert a yarn to a fabric.
Keywords:
Digital Twin, IoT, IAI, Design Manufacturing, Sensory Visual.
Cite Article:
"Prognostic Identification of Issues in Textile Manufacturing Machines Using the Digital Twin Technology", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 3, page no.55 - 57, March-2019, Available :http://www.ijrti.org/papers/IJRTI1903013.pdf
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000204756
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator