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A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Manufacturers have faced an increasing need for the development of predictive models that predict mechanical failures and the remaining useful life (RUL) of manufacturing systems or components. Classical model-based or ...
Cloud-Based Parallel Machine Learning for Tool Wear Prediction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The emergence of cloud computing, industrial internet of things (IIoT), and new machine learning techniques have shown the potential to advance prognostics and health management (PHM) in smart manufacturing. While model-based ...
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