ItemBook Chapter

Blockchain-Based Digital Twin for Predictive Maintenance of Machines Using Machine Learning

Title
Blockchain-Based Digital Twin for Predictive Maintenance of Machines Using Machine Learning
Creator
Vinodha, D.; Anita, E. A. Mary; Thirunavukkarasu, Padmavathy; Geetha, P.
Description
Digital Twin (DT) is a software replica of the physical asset or process that serves the automobile industry by empowering engineers and data scientists to gain a deeper insight into the system and solve the biggest challenges with less time and cost. Blockchain technology is an evolving and promising technology that foresees providing surveil -lance facilities for DTs, resulting in firming up security and improving the openness, reliability, and unchangeability of DTs. By incorporating intellectual behavior in blockchain-based DTs, the functions of machines can be governed parallelly, and the major maintenance activities can be predicted effectively. This chapter explores the design of various frameworks using recent technologies. Some of them are DTs, blockchain, artificial intelligence, and the Internet of Things which drive resolution in the industry to minimize the governing cost of machines. 2025 by Apple Academic Press, Inc.
Source
Blockchain-Based Digital Twins: Research Trends and Challenges;pp.249-277
Date
01-01-2025
Publisher
Apple Academic Press
Subject
Blockchain; Deep learning; Digital twin; Edge computing; Industrial machines; Long-term memory; Machine learning; Novel framework; Predictive maintenance; Stakeholders
Coverage
Vinodha D., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Anita E.A.M., CHRIST (Deemed to be University), Karnataka, Bangalore, India; Thirunavukkarasu P., Department of Computational Intelligence, SRM Institute of Science and Technology, Tamil Nadu, Kattakulathur, India; Geetha P., Department of Computational Intelligence, SRM Institute of Science and Technology, Tamil Nadu, Kattakulathur, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 978-104026679-3; 978-177491842-5;
Format
online
Language
English
Type
Book chapter

Citation

Vinodha, D.; Anita, E. A. Mary; Thirunavukkarasu, Padmavathy; Geetha, P., “Blockchain-Based Digital Twin for Predictive Maintenance of Machines Using Machine Learning,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 20, 2026, https://archives.christuniversity.in/items/show/25301.

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