Name
Title | ||
|---|---|---|
Production Optimization Monitoring System Implementing Artificial Intelligence and Big Data |
Abstract | ||
|---|---|---|
The proposed work describes an architecture able to optimize production supporting wheat transformation processes, developed within the framework of an industry research project. The architecture is designed in order to integrate and enable different systems and technologies including big data systems and artificial intelligence algorithms. Preliminary results about detected field data and data flow implementation are discussed. A particular attention is focused on predictive maintenance of production machines by infrared thermography imaging and accelerometer signal processing. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/MetroInd4.0IoT48571.2020.9138198 | 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT |
Keywords | DocType | ISBN |
ESB,Predictive Maintenance,Industry 4.0,Artificial Intelligence,Big Data,Production Monitoring | Conference | 978-1-7281-4892-2 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessandro S. Massaro | 1 | 18 | 7.91 |
| Sergio Selicato | 2 | 1 | 1.71 |
| Roberto Miraglia | 3 | 1 | 0.36 |
| Antonio Panarese | 4 | 1 | 2.05 |
| Angelo Calicchio | 5 | 1 | 0.36 |
| Angelo Galiano | 6 | 4 | 5.24 |