Search Navigation Menu
DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information
Search Scientific Data

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

Abstract

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.

Authors:
; ; ;
+ Show Author Affiliations
  1. ORNL-OLCF
Publication Date:
Research Org.:
Oak Ridge Leadership Computing Facility; Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
Subject:
42 ENGINEERING; Non-destructive evaluation, SPOT welding, Deep neural network, Autonomous detection
OSTI Identifier:
1559947
DOI:
https://doi.org/10.13139/OLCF/1559947

Citation Formats

wang, dali, Zhou, Jian, Chen, Jian, and Feng, Zhili. A Labelled training and testing dataset for autonomous non-destructive evaluation for Resistance SPOT welding. United States: N. p., 2019. Web. doi:10.13139/OLCF/1559947.
Copy to clipboard
wang, dali, Zhou, Jian, Chen, Jian, & Feng, Zhili. A Labelled training and testing dataset for autonomous non-destructive evaluation for Resistance SPOT welding. United States. doi:https://doi.org/10.13139/OLCF/1559947
Copy to clipboard
wang, dali, Zhou, Jian, Chen, Jian, and Feng, Zhili. 2019. "A Labelled training and testing dataset for autonomous non-destructive evaluation for Resistance SPOT welding". United States. doi:https://doi.org/10.13139/OLCF/1559947. https://www.osti.gov/servlets/purl/1559947. Pub date:Wed Sep 04 04:00:00 UTC 2019
Copy to clipboard
@article{osti_1559947,
title = {A Labelled training and testing dataset for autonomous non-destructive evaluation for Resistance SPOT welding},
author = {wang, dali and Zhou, Jian and Chen, Jian and Feng, Zhili},
abstractNote = {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.},
doi = {10.13139/OLCF/1559947},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Sep 04 04:00:00 UTC 2019},
month = {Wed Sep 04 04:00:00 UTC 2019}
}
Copy to clipboard
Dataset:
View Dataset
DOI: https://doi.org/10.13139/OLCF/1559947
Save / Share:
Export Metadata
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.

Similar records in DOE Data Explorer and OSTI.GOV collections: