Datasets
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Datasets and codes for "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process"
- Citation Author(s):
- Submitted by:
- Hongji Ren
- Last updated:
- Tue, 05/17/2022 - 22:18
- DOI:
- 10.21227/cx2s-7j24
- Research Article Link:
- License:
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- Keywords:
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Abstract
Datasets and codes for "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process"
Instructions:
Datasets and codes for paper entitled "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process"
Authors: Hongji Ren, Aijun Yin, Zongxian Dai, Yu Wang
environment for .py codes:
conda 4.5.11
tensorflow-1.13.1
tensorflow-probability 0.6.0
If you find our work useful, please cite:
H. Ren, A. Yin, Z. Dai and Y. Wang, "Deep Probabilistic Learning for Process Quality Evaluation with a Case Study of Gear Hobbing Process," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2021.3091521.
Dataset Files
- Guidance to unzip the dataset and code.txt (770 bytes)
- Dataset and code.7z.001.7z (46.73 MB)
- Dataset and code.7z.002.7z (46.73 MB)
- Dataset and code.7z.003.7z (46.73 MB)
- Dataset and code.7z.004.7z (33.06 MB)
