2020
DOI: 10.1007/978-3-030-57745-2_86
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Development of a Predictive Maintenance 4.0 Platform: Enhancing Product Design and Manufacturing

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Cited by 10 publications
(9 citation statements)
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“…Industry 4.0 innovations such as cyber-physical systems, digital internet resources, and scientific experiments are critical product data sources. Other technologies that can be leveraged for data access include simulation and horizontal and vertical systems integration [41]. Therefore, data analytics leads to better product design decisions and improves customer satisfaction and organizational competitiveness since the designers better understand the target users, thus developing individualized tools and resources.…”
Section: Design For Data Analyticsmentioning
confidence: 99%
“…Industry 4.0 innovations such as cyber-physical systems, digital internet resources, and scientific experiments are critical product data sources. Other technologies that can be leveraged for data access include simulation and horizontal and vertical systems integration [41]. Therefore, data analytics leads to better product design decisions and improves customer satisfaction and organizational competitiveness since the designers better understand the target users, thus developing individualized tools and resources.…”
Section: Design For Data Analyticsmentioning
confidence: 99%
“…In recent years, the evolution of digital technologies has given analog devices a digital footprint. This enables greater connectivity and provides possibilities to achieve higher levels of productivity and thus contributes to the objectives of the maintenance industry [13]. The integration of new digital technologies becomes possible and introduces the term "Industry 4.0".…”
Section: Ar Application Fieldsmentioning
confidence: 99%
“…Opportunities arise to predict the behavior of operators, machines, and systems allowing faster decision-making and less downtime [15]. Predicting maintenance enables getting a holistic view of data sources, collection, and analysis to preserve asset reliability and management [13]. Integrating the Industry 4.0 paradigm in maintenance operations will have far-reaching consequences for the interactions between humans and technology [16].…”
Section: Ar Application Fieldsmentioning
confidence: 99%
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“…Dada la novedad de las tecnologías aquí comentadas, la disponibilidad de ejemplos aplicados a productos industriales o sistemas concretos no es muy abundante. Saidy et al [6] exponen la implementación de un Sistema de Mantenimiento Predictivo 4.0 en una planta desaladora, utilizando los datos obtenidos de los diferentes sensores para mejorar el diseño de la planta. Tecnologías como la realidad aumentada y la fabricación aditiva se han aplicado con éxito al mantenimiento de aeronaves [7], lo que ha permitido el diseño y la fabricación de piezas de avión optimizadas que, posteriormente, se han instalado en sistemas críticos de la aeronave.…”
Section: Introductionunclassified