A DECISION SUPPORT SYSTEM BASED ON NEURO-FUZZY SYSTEM FOR RAILROAD MAINTENANCE PLANNING

Michele Ottomanelli, Mauro Dell’Orco, Domenico Sassanelli

Abstract

Optimization of Life Cycle Cost (LCC) in railroad maintenance, is one of the main goals of the railways managers. In order to achieve the best balance between safety and operating costs, “on condition” maintenance is more and more used; that is, a maintenance intervention is planned only when and where necessary. Nowadays, the conditions of railways are monitored by means of special diagnostic trains: these trains, such as Archimede, the diagnostic train of the Italian National Railways, allow to observe every 50 cm dozens of rail track characteristic attributes simultaneously. Therefore, in order to plan an effective on condition maintenance, managers have a large amount of data to be analyzed through an appropriate Decision Support System (DSS). However, even the most up-to-date DSSs have some drawbacks: first of all, they are based on a binary logic with rigid thresholds, restricting their flexibility in use; additionally, they adopt considerable simplifications in the rail track deterioration model. In this paper, we present a DSS able to overcome these drawbacks. It is based on fuzzy logic and it is able to handle thresholds expressed as a range, an approximate number or even a verbal value. Moreover, through artificial neural networks it is possible to obtain more likely the rail track deterioration models. The proposed model can analyze the data available for a given portion of rail-track and then it plans the maintenance, optimizing the available resources.

References

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Paper Citation


in Harvard Style

Ottomanelli M., Dell’Orco M. and Sassanelli D. (2005). A DECISION SUPPORT SYSTEM BASED ON NEURO-FUZZY SYSTEM FOR RAILROAD MAINTENANCE PLANNING . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-19-8, pages 43-49. DOI: 10.5220/0002524500430049


in Bibtex Style

@conference{iceis05,
author={Michele Ottomanelli and Mauro Dell’Orco and Domenico Sassanelli},
title={A DECISION SUPPORT SYSTEM BASED ON NEURO-FUZZY SYSTEM FOR RAILROAD MAINTENANCE PLANNING},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2005},
pages={43-49},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002524500430049},
isbn={972-8865-19-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A DECISION SUPPORT SYSTEM BASED ON NEURO-FUZZY SYSTEM FOR RAILROAD MAINTENANCE PLANNING
SN - 972-8865-19-8
AU - Ottomanelli M.
AU - Dell’Orco M.
AU - Sassanelli D.
PY - 2005
SP - 43
EP - 49
DO - 10.5220/0002524500430049