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1 year ago in Machine Learning By Madhu B

How is machine learning applied to control and optimize industrial processes?

In what ways can ML models be deployed to monitor, regulate, and improve efficiency in industrial operations?

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By Pravin Patel Answered 7 months ago

Machine learning optimizes industrial processes by analyzing sensor data to build predictive models. These models enable predictive maintenance, real-time quality control, and dynamic optimization of parameters like temperature or pressure. Reinforcement learning can directly learn optimal control policies, while digital twins use ML to simulate and improve entire production systems.

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