Industrial Application of Deep Neural Network for Aluminum Casting Defect Detection in Case of Unbalanced Dataset
We have developed a deep neural network for casting defect detection. The approach is original because it assumes the use of data related to the casting manufacturing process, i.e. measurement signals from the casting machine, rather than data describing the finished casting, e.g. images. The defect...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Lublin University of Technology
2022-11-01
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| Series: | Advances in Sciences and Technology |
| Subjects: | |
| Online Access: | http://www.astrj.com/Industrial-Application-of-Deep-Neural-Network-for-Aluminum-Casting-Defect-Detection,154963,0,2.html |