Abstract
In this paper a study of the application of methods based on Computational Intelligence (CI) procedures to a forecasting problem in railway maintenance is presented. Railway maintenance is an important and long-standing problem that is critical for safe, comfortable and economic transportation. With the advent of high-speed lines, the problem has even more importance nowadays. We have developed a study, applying forecasting procedures from Statistics and CI, to examine the feasibility of predicting one-month-ahead faults on two high-speed lines in Spain. The data are faults recorded by a measurement train which traverses the lines monthly. The results indicate that CI methods are competitive in this forecasting task against the Statistical regression methods, with ε-support vector regression outperforming the other employed methods. So, application of CI methods is feasible in this forecasting task and it is useful in the planning process of track maintenance.
Original language | English |
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Title of host publication | Recent Trends in Applied Artificial Intelligence - 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013, Proceedings |
Publisher | Springer-Verlag London Ltd. |
Pages | 674-683 |
Number of pages | 10 |
Volume | 7906 LNAI |
ISBN (Print) | 9783642385766 |
DOIs | |
Publication status | Published - 2013 |
Externally published | Yes |
Event | International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems 2013 - Amsterdam, Netherlands Duration: 17 Jun 2013 → 21 Jun 2013 Conference number: 26th http://dblp.uni-trier.de/db/conf/ieaaie/ieaaie2013.html |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 7906 LNAI |
ISSN (Print) | 03029743 |
ISSN (Electronic) | 16113349 |
Conference
Conference | International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems 2013 |
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Abbreviated title | IEA/AIE 2013 |
Country/Territory | Netherlands |
City | Amsterdam |
Period | 17/06/13 → 21/06/13 |
Other | Old name (ERA List) = International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems |
Internet address |
Keywords
- machine learning
- prediction
- railway maintenance
- time series
- track maintenance