Towards Digitalizing Rolling Stock Maintenance (original) (raw)
The advent of Industry 4.0 has revolutionised the way in which all aspects of a product or service are approached, and the railway sector is moving toward the adoption of this new paradigm. Maintenance in railways is traditionally based on a preventive approach that replaces parts at regular intervals or when a failure occurs. However, the 4.0 revolution implies the use of new strategies based on condition monitoring and predictive maintenance for moving towards Maintenance 4.0. In this work, the creation of a digital twin that helps in the adoption of new technologies is established. The proposed digital twin covers the trailer bogie of a high-speed train and is composed of three models: a 3D geometrical model, a finite element model and a multi-body model. These three models provide the initial information about the dynamic performance of the bogie that should be completed with feedback from the actual bogie operating in the real world.
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