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ISPMAT: Intelligent system for predictive maintenance applied to trains

M.A. Sanz-Bobi, R. Palacios, A. Muñoz, R. García-Escudero, M. Pérez, Á.L. Matesanz

The maintenance of massive transport vehicles is very important to guarantee the quality of this social service. This paper presents a software tool named ISPMAT able to perform an automatic detection and diagnosis of possible faults in two main components of a train: the compressor and the traction bogie. ISPMAT is based on artificial intelligent techniques: neural networks and expert systems. This paper includes the description of the ISPMAT architecture and some experimental results.


Palabras clave: Predictive maintenance, Diagnosis expert system, Neural networks, Health of components, Electrical trains

16th International Euromaintenance 2002, Helsinki (Finlandia). 03 junio 2002

Fecha de publicación: junio 2002.



Cita:
M.A. Sanz-Bobi, R. Palacios, A. Muñoz, R. García-Escudero, M. Pérez, Á.L. Matesanz, ISPMAT: Intelligent system for predictive maintenance applied to trains, 16th International Euromaintenance 2002. Helsinki, Finlandia, 03-05 Junio 2002


    Líneas de investigación:

IIT-02-007A

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