Anticipating Future Behavior of an Industrial Press Using LSTM Networks
Predictive maintenance is very important in industrial plants to support decisions aiming to maximize maintenance investments and equipment’s availability. This paper presents predictive models based on long short-term memory neural networks, applied to a dataset of sensor readings. The aim is to fo...
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2021
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10316/100622 |
| País: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/100622 |