Name
Title | ||
|---|---|---|
Failure history analysis using multidimensional scaling and neural networks in railway systems |
Abstract | ||
|---|---|---|
Urban mobility is one of the main problems faced by big cities. The electric multiple unit (EMU) is the best alternative since it transports a high volume of people at a low cost. Failures during operation cause delays and inconvenience for passengers and operators. This article deals with failures in DC traction motors and their control systems in a transport company operating urban trains. The s... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/INDIN45582.2020.9442131 | 2020 IEEE 18th International Conference on Industrial Informatics (INDIN) |
Keywords | DocType | Volume |
Neural networks,Urban areas,Tools,Traction motors,Software,Rail transportation,Preventive maintenance | Conference | 1 |
ISBN | Citations | PageRank |
978-1-7281-4964-6 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rafael Pischke Garske | 1 | 0 | 0.34 |
| Edison Pignaton de Freitas | 2 | 0 | 0.34 |
| Renato Ventura Bayan Henriques | 3 | 0 | 0.34 |