Anticipating Future Behavior of an Industrial Press Using LSTM Networks

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...

Full description

Bibliographic Details
Main Authors: Balduíno César Mateus, Mateus Mendes, José Torres Farinha, António Marques Cardoso
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
time series prediction
LSTM prediction
deep learning prediction
predictive maintenance
Online Access:https://www.mdpi.com/2076-3417/11/13/6101

Internet

https://www.mdpi.com/2076-3417/11/13/6101

Similar Items