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A Labelled training and testing dataset for autonomous non-destructive evaluation for Resistance SPOT welding

Dataset

Description

This dataset contains all the training and testing data generated from 90 videos (over seven sets of welding material stack-ups). A new method is developed to assemble sufficient datasets from these videos for neural network training. These data also contains the ground truth on the weld nuggets, derived from the post-weld measurement and video conversion ratios. More specific technical details can be found in the manuscript: Jian Zhou, Dali Wang, Jian Chen, Zhili Feng. (2019), Autonomous non-destructive evaluation of resistance Spot Welded Joints.
Date made availableSep 4 2019
PublisherOak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Funding

34715860

  • Autonomous nondestructive evaluation of resistance spot welded joints

    Zhou, J., Wang, D., Chen, J., Feng, Z., Clarson, B. & Baselhuhn, A., Dec 2021, In: Robotics and Computer-Integrated Manufacturing. 72, 102183.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    20 Scopus citations

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