Examinando por Autor "Ruiz-Arenas S."

Mostrando 1 - 2 de 2
  • No hay miniatura disponible
    Ítem
    Design and implementation of an academic project for fostering open innovation between companies from different industrial sectors: A case study
    (Institution of Engineering Designers, The Design Society, 2019-01-01) Gutierrez-Aristizabal J.; Ruiz-Arenas S.
    Collaborative projects integrating companies and universities have been traditionally conducted between entities from interrelated industrial sectors. Nevertheless, theory about innovation states that the involvement of people from different disciplines, expertise, and type of business foster new perspectives and enables a robust body of knowledge that will derive innovative results. This article aims to share the experience obtained through the planning, and execution of the so-called project “First View Design Lab 2018” (FV). FV is an annual collaborative and academic project organised by Universidad EAFIT that integrates the industry and the academy, in order to find new opportunities of products and services. This project implements design methodologies, co-creation and open innovation to enable knowledge transfer, and to get innovative concepts of new products/services. In 2018, FV was focused on exploring how heterogeneous teams composed by companies from different industrial sectors and the academy contribute to get new concepts that explore other business cores, different from the ones of the companies involved. The process followed enabled overcoming important challenges, such as the reluctance of Colombian companies for working in collaborative projects with other companies and the academy. © 2019 Institution of Engineering Designers, The Design Society. All rights reserved.
  • No hay miniatura disponible
    Ítem
    Systematic exploration of signal-based indicators for failure diagnosis in the context of cyber-physical systems
    (Zhejiang University, 2019-01-01) Ruiz-Arenas S.; Rusák Z.; Horváth I.; Mejí-Gutierrez R.; Universidad EAFIT. Departamento de Ingeniería de Diseño; Ingeniería de Diseño (GRID)
    Malfunction or breakdown of certain mission critical systems (MCSs) may cause losses of life, damage the environments, and/or lead to high costs. Therefore, recognition of emerging failures and preventive maintenance are essential for reliable operation of MCSs. There is a practical approach for identifying and forecasting failures based on the indicators obtained from real life processes. We aim to develop means for performing active failure diagnosis and forecasting based on monitoring statistical changes of generic signal features in the specific operation modes of the system. In this paper, we present a new approach for identifying emerging failures based on their manifestations in system signals. Our approach benefits from the dynamic management of the system operation modes and from simultaneous processing and characterization of multiple heterogeneous signal sources. It improves the reliability of failure diagnosis and forecasting by investigating system performance in various operation modes, includes reasoning about failures and forming of failures using a failure indicator matrix which is composed of statistical deviation of signal characteristics between normal and failed operations, and implements a failure indicator concept that can be used as a plug and play failure diagnosis and failure forecasting feature of cyber-physical systems. We demonstrate that our method can automate failure diagnosis in the MCSs and lend the MCSs to the development of decision support systems for preventive maintenance. © 2019, Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature.