Digitalization and Dynamic Criticality Analysis for Railway Asset Management

This article belongs to the Special Issue Big-Data-Driven Advances in Smart Maintenance and Industry 4.0 // © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license

Detalles Bibliográficos
Autores: Rodríguez-Hernández, Mauricio, Sánchez Herguedas, Antonio Jesús, González-Prida, Vicente, Soto Contreras, Sebastián, Crespo Márquez, Adolfo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/171842
Acceso en línea:https://hdl.handle.net/11441/171842
https://doi.org/10.3390/app142210642
Access Level:acceso abierto
Palabra clave:Criticality analysis
Data model
Digitalization
Digital twin
Extract, transform, and load (ETL)
Asset attribute characterization (AAC)
Railway maintenance management
Descripción
Sumario:This article belongs to the Special Issue Big-Data-Driven Advances in Smart Maintenance and Industry 4.0 // © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license