A Novel Fault Detection Method Based on One-Dimension Convolutional Adversarial Autoencoder (1DAAE)
Fault detection is an important and demanding problem in industry. Recently, many researchers have addressed the use of deep learning architectures for fault detection applications such as an autoencoder. Traditional methods based on an autoencoder usually complete fault detection by comparing recon...
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| Published in: | Processes Vol. 11; no. 2; p. 384 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Basel
MDPI AG
01.02.2023
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| Subjects: | |
| ISSN: | 2227-9717, 2227-9717 |
| Online Access: | Get full text |
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