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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

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Paper Title: Prognostic Identification of Issues in Textile Manufacturing Machines Using the Digital Twin Technology
Authors Name: B.Sathyabama , Dr. V.Kavitha , G.Subhasini
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IJRTI_180749
Published Paper Id: IJRTI1903013
Published In: Volume 4 Issue 3, March-2019
DOI:
Abstract: 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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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
Publication Details: Published Paper ID: IJRTI1903013
Registration ID:180749
Published In: Volume 4 Issue 3, March-2019
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Page No: 55 - 57
Country: Coimbatore, tamil nadu, india
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1903013
Published Paper PDF: https://www.ijrti.org/papers/IJRTI1903013
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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