16th International Euromaintenance 2002, Helsinki (Finlandia). 03-05 Junio 2002
Resumen:
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
Fecha de publicación: junio 2002.
Cita:
Sanz-Bobi, M.A., Palacios, R., Muñoz, A., García-Escudero, R., Pérez, M., Matesanz, Á.L., ISPMAT: Intelligent system for predictive maintenance applied to trains, 16th International Euromaintenance 2002, Helsinki (Finlandia). 03-05 Junio 2002.
IIT-02-007A
