Repositorio Institucional Universidad EAFIT ::Examinando por Materia "Embedded systems"

Examinando por Materia "Embedded systems"

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Computer science development and technologies associated with industry 4.0 applied to industrial maintenance in Colombia
(IOP PUBLISHING LTD, 2020-01-01) Dueas Ramírez, L.M.; Villegas López, G.A.; Universidad EAFIT. Departamento de Ingeniería Mecánica; Estudios en Mantenimiento (GEMI)
The technologies associated with industry 4.0, have taken a leading role worldwide, because being globally competitive in the industrial sector depends not only on the real world but also on the digital world. This is why the predictive techniques used in maintenance and that currently employ technologies such as: internet of things, machine learning, big data, cyber physical Systems, Data analysis among others; to make their predictions they have defined a path in the continuous improvement of industrial processes and in the execution of the maintenance strategy. This work shows the most developed technologies 4.0 in Colombia used in industrial maintenance and exposes the country's gaps in the development of these technologies and their use in different industrial sectors. This research was developed through the analysis of consolidated data in studies conducted by the private sector and the public in Colombia on technological developments in the country where it is evident that these technologies associated with maintenance are in growth stage and in a few sectors of industry have exploited the benefits of use. © Published under licence by IOP Publishing Ltd.
Desarrollo de un prototipo funcional de bajo costo para la medición de la severidad vibratoria en máquinas rotativas según las Normas ISO 2372 y 10816-3
(Universidad EAFIT, 2012) Serna Gallo, Jaime Alberto; Castañeda Heredia, Leonel Francisco
Actualmente el mantenimiento predictivo es muy poco usado en la pequeña y mediana empresa (Pymes), esto se debe al costo de implementación, equipos y personal capacitado en esta área, lo cual desaprovecha las ventajas que trae este tipo de mantenimiento, que a pesar del costo, trae beneficios económicos a largo plazo tales como aumentar la vida útil de la maquinaria y disminuir los costos por reparación. Hoy en día los avances de los sistemas electrónicos avanzan a pasos gigantescos, ofreciendo dispositivos cada vez con mayores prestaciones y a muy bajo costo, lo cual debería verse reflejado en la disminución del valor de los equipos de mantenimiento, situación que no sucede y que se debe a la falta de aprovechamiento y apropiación tecnológica que posee el país. Como primer paso en la búsqueda de desarrollar equipos de bajo costo que ayuden a aprovechar las ventajas y bondades que ofrece el mantenimiento predictivo, se realizó una revisión del estado del arte de las metodologías de diseño de sistemas embebidos, y con base en dicha revisión, se generó un protocolo de desarrollo específico para equipos electrónicos en esta área. Una vez realizado el protocolo, se desarrolló un sistema de bajo costo para la evaluación de la severidad vibratoria en máquinas rotativas que solo requiere la presencia de un experto en vibraciones la primera vez que se instala, posterior a esto, el usuario de la empresa puede seguir monitoreando por cuenta propia sus equipos y generar acciones de mantenimiento solo cuando sea necesario, de este modo queda demostrado que si es posible realizar implementaciones de bajo costo y que el protocolo desarrollado es una buena herramienta para generar muchos más equipos de este tipo que beneficien a la sociedad y al desarrollo económico del país.
Implementation of system operation modes for health management and failure prognosis in cyber-physical systems
(MDPI AG, 2020-01-01) Ruiz-Arenas, S.; Rusák, Z.; Mejía-Gutierrez, R.; Horváth, I.; Universidad EAFIT. Departamento de Ingeniería de Diseño; Ingeniería de Diseño (GRID)
Cyber-physical systems (CPSs) have sophisticated control mechanisms that help achieve optimal system operations and services. These mechanisms, imply considering multiple signal inputs in parallel, to timely respond to varying working conditions. Despite the advantages that control mechanisms convey, they bring new challenges in terms of failure prevention. The compensatory action the control exerts cause a fault masking effect, hampering fault diagnosis. Likewise, the multiple information inputs CPSs have to process can affect the timely system response to faults. This article proposes a failure prognosis method, which combines time series-based forecasting methods with statistically based classification techniques in order to investigate system degradation and failure forming on system levels. This method utilizes a new approach based on the concept of the system operation mode (SOM) that offers a novel perspective for health management that allows monitoring the system behavior, through the frequency and duration of SOMs. Validation of this method was conducted by systematically injecting faults in a cyber-physical greenhouse testbed. The obtained results demonstrate that the degradation and fault forming process can be monitored by analyzing the changes of the frequency and duration of SOMs. These indicators made possible to estimate the time to failure caused by various failures in the conducted experiments. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
Industry 4.0: survey from a system integration perspective
(TAYLOR & FRANCIS LTD, 2020-01-01) Sanchez, M.; Exposito, E.; Aguilar, J.; Sanchez, M.; Exposito, E.; Aguilar, J.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
In recent years, a revolution named Industry 4.0 has arisen. Industry 4.0 is presented as the integration of new advances in areas such as Cyber-Physical Systems, the Internet of Things and Everything (IoE), Cloud computing, the Internet of Services, Big Data Analysis, Smart Factories, Augmented Reality, among others. Industry 4.0 is not only a new industrial revolution, but also a crucial integration challenge that involves several actors from the IoE, which are people, data, services, and things. This paper proposes an approach to analyze the integration challenges in the context of Industry 4.0 using five integration levels, which are connection, communication, coordination, cooperation, and collaboration (5 C). In that sense, this paper presents a state of the art of recent studies in Industry 4.0 from an integration perspective, categorized according to the 5 C integration levels versus the four actors of IoE. Specifically, this paper considers several works intended to solve problems of autonomic integration in Industry 4.0 at the highest levels of the 5 C integration stack (coordination, cooperation, and collaboration). Also, this paper presents a case study from an integration perspective, which contemplates autonomy, self-organizing, among other aspects, in order to turn a traditional industry into a smart factory regarding the Industry 4.0 concept. © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.
NMPC controller applied to the operation of an internal combustion engine: formulation and solution of the optimization problem in real time
(Springer-Verlag France, 2018-02-01) Chica, J.A.V.; Torres, A.G.D.; Acosta Maya, Diego Andres; Chica, J.A.V.; Torres, A.G.D.; Acosta Maya, Diego Andres; Universidad EAFIT. Departamento de Ingeniería de Producción; Ingeniería, Energía, Exergía y Sostenibilidad (IEXS)
Numerical optimization solve problems efficiently where such efficiency is focused on the speed with which the optimal x* is achieved, is open line of research and strong work in the scientific community in order to achieve control systems in dynamic processes with response times of the order of milliseconds. A clear example of this, is the implementation of optimal controller’s combustion engines. For subsequent approach to the design and implementation of nonlinear model predictive control controllers, it has made a comparison of yields algorithms quadratic programming by active set with linearization restrictions, and sequential quadratic programming with single shooting technique to solve quadratic optimization problem formulation referred to a dynamic internal combustion engine of spark ignition, in embedded systems with real-time processing. © 2016, Springer-Verlag France.
NMPC controller applied to the operation of an internal combustion engine: formulation and solution of the optimization problem in real time
(Springer-Verlag France, 2018-02-01) Chica, J.A.V.; Torres, A.G.D.; Acosta Maya, Diego Andres; Universidad EAFIT. Departamento de Ingeniería de Procesos; Desarrollo y Diseño de Procesos
Numerical optimization solve problems efficiently where such efficiency is focused on the speed with which the optimal x* is achieved, is open line of research and strong work in the scientific community in order to achieve control systems in dynamic processes with response times of the order of milliseconds. A clear example of this, is the implementation of optimal controller’s combustion engines. For subsequent approach to the design and implementation of nonlinear model predictive control controllers, it has made a comparison of yields algorithms quadratic programming by active set with linearization restrictions, and sequential quadratic programming with single shooting technique to solve quadratic optimization problem formulation referred to a dynamic internal combustion engine of spark ignition, in embedded systems with real-time processing. © 2016, Springer-Verlag France.
NMPC controller applied to the operation of an internal combustion engine: formulation and solution of the optimization problem in real time
(Springer-Verlag France, 2018-02-01) Chica, J.A.V.; Torres, A.G.D.; Acosta Maya, Diego Andres; Chica, J.A.V.; Torres, A.G.D.; Acosta Maya, Diego Andres; Universidad EAFIT. Departamento de Ingeniería de Procesos; Procesos Ambientales (GIPAB)
Numerical optimization solve problems efficiently where such efficiency is focused on the speed with which the optimal x* is achieved, is open line of research and strong work in the scientific community in order to achieve control systems in dynamic processes with response times of the order of milliseconds. A clear example of this, is the implementation of optimal controller’s combustion engines. For subsequent approach to the design and implementation of nonlinear model predictive control controllers, it has made a comparison of yields algorithms quadratic programming by active set with linearization restrictions, and sequential quadratic programming with single shooting technique to solve quadratic optimization problem formulation referred to a dynamic internal combustion engine of spark ignition, in embedded systems with real-time processing. © 2016, Springer-Verlag France.
Performance analysis of the ubiquitous and emergent properties of an autonomic reflective middleware for smart cities
(Springer, 2020-01-01) Aguilar, J.; Jerez, M.; Mendonça, M.; Sánchez, M.; Aguilar, J.; Jerez, M.; Mendonça, M.; Sánchez, M.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
One of the biggest challenges in a Smart City is how to describe and dispose of the enormous and multiple sources of information, and how to share and merge it into a single infrastructure, in a timely and correct manner. A Smart City requires computational platforms, which allow the interconnection of multiple and embedded systems, such that the technology is integrated with people, and can respond to unpredictable situations. The integration of information and communications technology in these spaces, allows exploiting the wealth of information and knowledge generated in a Smart City, and improving its planning and services offered to its citizens. In this way, the people are immersed in these spaces, which are aware of their presence (context-sensitive) and adapt to their needs. The context analysis in a smart city allows making available services and information, to support ubiquitously the activities of the individuals. This study aims to analyze the emerging and ubiquitous capabilities of an Autonomic Reflective Middleware. The Middleware is based on intelligent agents that can be adapted to the existing dynamism in a city for, ubiquitously, responding to the requirements of citizens. It uses emerging ontologies that allow, not only the adaptation to the context of the moment and in real-time but also responds to unforeseen situations. © 2020, Springer-Verlag GmbH Austria, part of Springer Nature.
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.
Towards the maintenance principles of cyber-physical systems
(ASSOC MECHANICAL ENGINEERS TECHNICIANS SLOVENIA, 2014-01-01) Ruiz-Arenas, S.; Horváth, I.; Mejía-Gutiérrez, R.; Opiyo, E.Z.; Universidad EAFIT. Departamento de Ingeniería de Diseño; Ingeniería de Diseño (GRID)
Cyber-physical systems (CPSs) are rapidly proliferating in different applications. Their system features significantly differ from those of linear complex systems (LCSs). Consequently, they pose novel challenges with regard to ensuring the dependability of system operation. Maintenance of CPSs raises new theoretical and practical issues. To guarantee a high level of dependability, new and efficient system maintenance principles should be explored and operationalized in various contexts. This paper reports on the first results of the authors' work in this direction. A comprehensive literature review has been conducted with the objective of identifying the specific features of LCSs and CPSs. We analysed the major maintenance principles and approaches currently applied to complex systems to see how they can be applied to CPSs. We found that the existing maintenance principles have various relationships with CPSs: (i) some of them cannot be considered in the context of CPSs due to incongruent system features, (ii) some of them can be adapted due to certain partial congruencies, and (iii) some of them can be applied directly due to the congruency of some system features of LCSs with CPSs. It was also found and demonstrated through a number of practical examples that many specific maintenance principles need to be developed for CPSs. We assert that the system features of CPSs without parallel in LCSs primarily reveal what sort of new maintenance principles and approaches are needed. The ultimate goal of our on-going research is to define and test these new maintenance principles. In this paper, we identify and define these principles, starting from the unique system features of CPSs and aiming to develop a maintenance advisory system. © 2014 Journal of Mechanical Engineering. All rights reserved.

Examinando por Materia "Embedded systems"

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