DeepMachining: Online Prediction of Machining Errors of Lathe Machines

Fuente: arXiv
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Main Authors: Lu, Xiang-Li, Hsu, Hwai-Jung, Chou, Che-Wei, Kung, H. T., Lee, Chen-Hsin, Cheng, Sheng-Mao
Format: Preprint
Published: 2024
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author Lu, Xiang-Li
Hsu, Hwai-Jung
Chou, Che-Wei
Kung, H. T.
Lee, Chen-Hsin
Cheng, Sheng-Mao
author_facet Lu, Xiang-Li
Hsu, Hwai-Jung
Chou, Che-Wei
Kung, H. T.
Lee, Chen-Hsin
Cheng, Sheng-Mao
contents 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 that involve different workpieces and cutting tools. To the best of our knowledge, this work is one of the first factory experiments using pre-trained deep-learning models to predict machining errors of lathe machines.
format Preprint
id arxiv_https___arxiv_org_abs_2403_16451
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle DeepMachining: Online Prediction of Machining Errors of Lathe Machines
Lu, Xiang-Li
Hsu, Hwai-Jung
Chou, Che-Wei
Kung, H. T.
Lee, Chen-Hsin
Cheng, Sheng-Mao
Machine Learning
Artificial Intelligence
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 that involve different workpieces and cutting tools. To the best of our knowledge, this work is one of the first factory experiments using pre-trained deep-learning models to predict machining errors of lathe machines.
title DeepMachining: Online Prediction of Machining Errors of Lathe Machines
topic Machine Learning
Artificial Intelligence
url https://arxiv.org/abs/2403.16451