A Transformer-based Approach for aAnomaly Detection in Wire eElectrical Discharge
Although theoretical models of manufacturing processes are useful for understanding physical events, it can be challenging to apply them in real-world industrial settings. When huge data are accessible, artificial intelligence approaches in the context of Industry 4.0 can offer effective answers to...
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| Main Authors: | Waleed Hammed, Ameer H. Al-Rubaye, Bashar S. Bashar, Merzah Kareem Imran, Mustafa Ghanim Rzooki, Ali Mohammed Hashesh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
OICC Press
2022-12-01
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| Series: | Majlesi Journal of Electrical Engineering |
| Subjects: | |
| Online Access: | https://oiccpress.com/mjee/article/view/4978 |
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