Title | ||
---|---|---|
Railway Components Wear: a Smart Platform for Full Traceability of Maintenance Activities |
Abstract | ||
---|---|---|
The railway components subjected to wear, e.g. ballast, sub-ballast, sleepers and general infrastructures, may generate off-design conditions which produce wear to the rail machines, as wagons and locomotives. The present work aims at describing a methodology which was followed to classify the infrastructure anomalies and analyse the possible induced effect on the rail machines. A platform was developed to include and manage the activities and data concerning the maintenance state of the components. In detail, the platform modules involved the spare part and storage management, the testing activities, the processing technologies for part restoring and used machines. The project was developed in collaboration with an Italian company which is daily involved in maintenance activities for rail machines and facilities. |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/MetroInd4.0IoT51437.2021.9488486 | 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT) |
Keywords | DocType | ISBN |
Railway,defects,maintenance,maintainability,monitoring,testing | Conference | 978-1-6654-2994-8 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alessandro Massaro | 1 | 0 | 2.37 |
Emanuele Cannella | 2 | 0 | 1.69 |
Sergio Selicato | 3 | 1 | 1.71 |
Giovanni Dipierro | 4 | 0 | 2.03 |
Annamaria Saponaro | 5 | 0 | 1.01 |
Maria Giovanna Trotta | 6 | 0 | 0.34 |
Angelo Galiano | 7 | 0 | 1.69 |