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This research paper investigates the implementation of predictive maintenance strategies in industrial operations using data analytics and machine learning to optimize efficiency and minimize downtime. It highlights the benefits of predictive maintenance, including improved equipment reliability, reduced maintenance costs, and enhanced production efficiency, supported by real-world case studies and quantitative results. The paper also addresses challenges in data integration and model development while sugg

Author

PRAKASH SHINDE

Language

EN