Point Cloud Object Shape Error Datasets for Root Cause Analysis of Multi-Station Assembly Systems
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The dataset consists of supervised shape error datasets (point clouds) and corresponding process parameters. It is genrated using the Variation Response Method (VRM) kernel. The dataset can be used for training deep learning frameworks to test performance for Root Cause Analysis (RCA) of Multi-Station Assembly Systems. The python library for implementation of the work can be found at this link: https://github.com/sumitsinha/Deep_Learning_for_Manufacturing
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Zenodo创建时间：
2021-02-12
