Fault detection and classification of industrial processes using lSTM neural networks with data compression techniques
Industry 4.0 set a paradigm shift in industrial process monitoring and control. It installed several sensors in different parts of the plant, connecting these industrial processes with the Internet of Things and Cloud Computing. Although, the data generation growth demanded engineers build proper en...
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| Format: | masterThesis |
| Language: | pt_BR |
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Universidade Federal do Rio Grande do Norte
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| Online Access: | https://repositorio.ufrn.br/handle/123456789/43116 |
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