Exploring machine learning-based fault monitoring for polymer-based additive manufacturing: challenges and opportunities

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SUMMARY

    In this paper, the researchers focus on exploring machine_learning-based sensor-based monitoring for FDM printers. Simpler methods 4 of 17 using machine_learning have been the focus of recent studies due to their capacity to provide a rapid solution to the modeling processes without the need for mathematical modeling. Instead of formulating equations or applying physics-based laws, the machine_learning model allows systems to develop formulas for computation. In terms of the systems, this paper surveys the following: studies which proposed machine_learning-based solutions for fault analysis in datadriven systems; recent studies for monitoring . . .

     

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