Name
Title | ||
|---|---|---|
Derailment Detection and Data Collection in Freight Trains, Based on a Wireless Sensor Network. |
Abstract | ||
|---|---|---|
We report the development of a network of wireless ultralow-power sensors to be deployed on freight railway cars, with the main purpose of detecting derailment events and alerting the engineer in the cab of the leading locomotive. Because no power bus is available on freight cars, we plan to rely on energy scavenging from vibrations; therefore, minimization of the power consumption has been one of... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TIM.2016.2556925 | IEEE Transactions on Instrumentation and Measurement |
Keywords | Field | DocType |
Railway accidents,Vibrations,Wireless sensor networks,Sensors,Automobiles,Wireless communication,Rail transportation | Data collection,Wireless,Derailment,Energy harvesting,Real-time computing,Electronic engineering,Minification,Engineering,Train,Wireless sensor network,Electrical engineering,Busbar | Journal |
Volume | Issue | ISSN |
65 | 9 | 0018-9456 |
Citations | PageRank | References |
2 | 0.37 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Macucci | 1 | 9 | 7.43 |
| Stefano Di Pascoli | 2 | 7 | 2.37 |
| P. Marconcini | 3 | 4 | 2.21 |
| Bernardo Tellini | 4 | 38 | 16.58 |