MANTENIMIENTO PREDICTIVO PARA PLATAFORMAS TERRESTRES

Status:
Finished
PI:
Sebastián Ventura
Members:

Jose María Luna
José Raúl Romero
Carlos García
Amelia Zafra
Aurora Ramirez
Aurora Esteban
Alvaro Espejo
Antonio Sarsa
José Manuel Alcaraz

Duration:
December 2019 – December 2021
Budget:
478,957 €
Project:

SUMMARY

The main objective of the MANPREDIC project is the development of a system to support the predictive maintenance of land platforms of the Spanish army. Specifically, the project will focus on several models of trucks belonging to the army fleet. This main objective is broken down into the following sub-objectives:

  • Development of a specific monitoring system for the corresponding land platforms, which will include a system for taking data in real time, and its transmission to a database management system that will be connected to the rest of the subsystems, responsible for processing this information to generate the corresponding alerts used in the predictive maintenance process.
  • Development of diagnostic models based on the application of data analysis techniques, which will use as input the information acquired by the monitoring systems and other data sources (SIGLE, ITV information, etc.). For all the platforms under study, data affecting engine safety and life, logistic footprint and driving patterns will be analysed.
  • Development of a computer system that, making use of the models obtained and the information provided in real time by the data collection system and the rest of the data sources, will generate diagnoses that will be used to assist in the decision-making process in relation to the maintenance of these land-based platforms.

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