An IoT-Driven Predictive Maintenance Model for Smart Manufacturing Systems

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Predictive maintenance reduces equipment downtime and maintenance costs significantly, enhancing system reliability.
Results showed a substantial decrease in maintenance expenditures and equipment downtime, validating the model's effectiveness.
Implementation involved machine learning technologies for real-time data capture and decision support.
Effects observed imply significant productivity enhancements in industrial settings, highlighting the model's application potential.

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Predictive maintenance improves equipment uptime in smart manufacturing, suggesting better resource management.

Novak et al. (2023) studied this question.

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