Paper Title
DIGITAL TWINS APPLICATION OF PREDICTIVE MAINTENANCE IN INDUSTRY
Article Identifiers
Authors
PRATIK ASHOK KHOBRAGADE , Malavika Saraf , Arvind M Padole
Keywords
Key words- Data-based prediction, IOT, Digital twins, artificial intelligence, Sensors.
Abstract
Abstract- This paper proposes a Digital Twin approach for predictive maintenance in industry. Several sectors are progressing due to the concept of predictive maintenance, which helps with equipment development and operation and enables a more thorough explanation and defense of maintenance schedules. This study uses data from two different 3 phase motors to offer multiple ways to describe how long a given part will be usable for motor maintenance. Rapid technological advancements are enabling enterprises to gather ever-more precise information about their equipment and processes. By predicting collected data digital twins provides alert alarms and engineers concluded that given motors needs urgent maintenance. With the use of AI prediction and decision-making support, manufacturing may be managed in the "near future" thanks to technological advancements that foster innovation. The establishment of a physical-virtual connection between a product and its digital twin facilitates real-time monitoring during the product's entire life cycle.
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How To Cite (APA)
PRATIK ASHOK KHOBRAGADE, Malavika Saraf, & Arvind M Padole (May-2024). DIGITAL TWINS APPLICATION OF PREDICTIVE MAINTENANCE IN INDUSTRY. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), e152-e156. https://ijnrd.org/papers/IJNRD2405420.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : e152-e156
Other Publication Details
Paper Reg. ID: IJNRD_221704
Published Paper Id: IJNRD2405420
Downloads: 000121988
Research Area: Electronics & Communication Engg.Â
Country: PULGAON, MAHARASHTRA, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405420.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405420
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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