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Digital Twin Technology for Predictive Maintenance in Manufacturing: A Smart Industry 4.0 Approach

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Digital twin technology significantly reduces machine downtime and improves maintenance schedules.
The application of AI/ML algorithms enhances predictive maintenance, enabling condition-driven strategies.
This research provides a conceptual framework around data collection, model building, and feedback mechanisms.
Challenges such as data security and interoperability must be addressed for scalable solutions.

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Observational analysis reveals predictive maintenance improvements in manufacturing with digital twins, highlighting a smart industry 4.0 approach.

IJSREM Journal (2025) studied this question.

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Observational analysis reveals predictive maintenance improvements in manufacturing with digital twins, highlighting a smart industry 4.0 approach.