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Paper Title
Prognostic Identification of Issues in Textile Manufacturing Machines Using the Digital Twin Technology
Authors
B.Sathyabama , Dr. V.Kavitha , G.Subhasini
Keywords
Digital Twin, IoT, IAI, Design Manufacturing, Sensory Visual.
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.
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IJRTI — journal style
"Prognostic Identification of Issues in Textile Manufacturing Machines Using the Digital Twin Technology", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.4, Issue 3, page no.55 - 57, March-2019, Available :https://ijrti.org/papers/IJRTI1903013.pdf
APA — 7th edition
B.Sathyabama, V.Kavitha, & G.Subhasini. (2019). Prognostic Identification of Issues in Textile Manufacturing Machines Using the Digital Twin Technology. International Journal for Research Trends and Innovation, 4(3), 55 - 57. https://ijrti.org/viewpaperforall.php?paper=IJRTI1903013
MLA — 9th edition
B.Sathyabama, et al. "Prognostic Identification of Issues in Textile Manufacturing Machines Using the Digital Twin Technology." International Journal for Research Trends and Innovation, vol. 4, no. 3, 2019, pp. 55 - 57, https://ijrti.org/viewpaperforall.php?paper=IJRTI1903013.
Chicago — 17th, bibliography
B.Sathyabama, V.Kavitha, and G.Subhasini. "Prognostic Identification of Issues in Textile Manufacturing Machines Using the Digital Twin Technology." International Journal for Research Trends and Innovation 4, no. 3 (2019): 55 - 57. https://ijrti.org/viewpaperforall.php?paper=IJRTI1903013.
Harvard — author–date
B.Sathyabama, V.Kavitha and G.Subhasini (2019) 'Prognostic Identification of Issues in Textile Manufacturing Machines Using the Digital Twin Technology', International Journal for Research Trends and Innovation, 4(3), pp. 55 - 57. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1903013
IEEE — numbered reference
B.Sathyabama, V.Kavitha and G.Subhasini, "Prognostic Identification of Issues in Textile Manufacturing Machines Using the Digital Twin Technology," IJRTI, vol. 4, no. 3, pp. 55 - 57, Mar. 2019.
Vancouver — biomedical
B.Sathyabama, V.Kavitha, G.Subhasini. Prognostic Identification of Issues in Textile Manufacturing Machines Using the Digital Twin Technology. IJRTI. 2019 Mar;4(3):55 - 57.
AMA — 11th edition
B.Sathyabama, V.Kavitha, G.Subhasini. Prognostic Identification of Issues in Textile Manufacturing Machines Using the Digital Twin Technology. IJRTI. 2019;4(3):55 - 57. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1903013
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1903013,
author = {B.Sathyabama and V.Kavitha and G.Subhasini},
title = {Prognostic Identification of Issues in Textile Manufacturing Machines Using the Digital Twin Technology},
journal = {International Journal for Research Trends and Innovation},
volume = {4},
number = {3},
pages = {55 - 57},
year = {2019},
month = {March},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1903013}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - B.Sathyabama
AU - V.Kavitha
AU - G.Subhasini
TI - Prognostic Identification of Issues in Textile Manufacturing Machines Using the Digital Twin Technology
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 4
IS - 3
PY - 2019
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1903013
SP - 55
EP - 57
ER -
Issue
Volume 4 Issue 3,
March-2019
Pages : 55 - 57
Other Publication Details
Paper Reg. ID
IJRTI_180749
Published Paper ID
IJRTI1903013
Downloads
205,638
Research Area
Engineering
Country
Coimbatore, tamil nadu, india
Published
March 2019
Published Paper PDF
https://ijrti.org/papers/IJRTI1903013.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI1903013
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
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Open
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Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
