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industrial-engineering

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This project develops predictive maintenance models for industrial robots in nuclear fuel replacement, leveraging data analytics, machine learning, and decision-making frameworks to optimize robot fleet management and extend operational uptime. Key phases include data exploration, feature engineering, RUL prediction, and maintenance decision-making

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  • Python

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