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DeepMachining: Online Prediction of Machining Errors of Lathe Machines
March 26, 2024, 4:42 a.m. | Xiang-Li Lu, Hwai-Jung Hsu, Che-Wei Chou, H. T. Kung, Chen-Hsin Lee
cs.LG updates on arXiv.org arxiv.org
Abstract: We describe DeepMachining, a deep learning-based AI system for online prediction of machining errors of lathe machine operations. We have built and evaluated DeepMachining based on manufacturing data from factories. Specifically, we first pretrain a deep learning model for a given lathe machine's operations to learn the salient features of machining states. Then, we fine-tune the pretrained model to adapt to specific machining tasks. We demonstrate that DeepMachining achieves high prediction accuracy for multiple tasks …
abstract ai system arxiv cs.ai cs.lg data deep learning errors factories learn machine machines manufacturing operations prediction type
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