Publication: METODOLOGÍA DE SELECCIÓN DE MODELOS DE PROGNOSIS EN UN SISTEMA PHM.
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Date
2020-09
Authors
ALEGRE, LUCAS SANTIAGO
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Abstract
Varios estudios han comprobado los beneficios de contar con sistemas de Prognostics and Health Management (PHM) en la gestión del ciclo de vida de los activos, pero dichos beneficios están sujetos a una correcta implementación del sistema PHM , que darán como resultado una operación eficaz y eficiente. Otras publicaciones, por ejemplo, han sentado las bases respecto a los recursos necesarios para implementar un sistema PHM en una organización. El foco del presente estudio se encuentra en la problemática que surge a la hora de enfrentarse a la variedad de modelos de prognosis que se pueden aplicar. Para dar respuesta a esto se busca establecer una metodología clara de selección de modelos de prognosis en las etapas de diseño del sistema, a través de la incorporación de herramientas como la Casa de la Calidad (HoQ) y el Análisis de Proceso Jerárquico (AHP), que reúne las características de reducir la dificultad de análisis, considerar equipos multidisciplinarios y contar con una perspectiva de múltiples criterios. Lo anterior se aplicó a un caso práctico y los resultados fueron satisfactorios, obteniendo un listado de posibles modelos a aplicar de acuerdo a las características del sistema considerado para el estudio. Para la correcta aplicación resulta critico contar con un estudio previo de factibilidad de implementación de un sistema PHM en la organización, así como el conocimiento experto al interior de esta, además de considerar una perspectiva centrada en la falla del sistema.
Several studies have verified the benefits of having Prognostics and Health Management (PHM) systems in asset life cycle management, but these benefits are subject to a correct implementation of the PHM system, which will result in an e_ective and e_cient operation. Other publications, for example, have laid the foundation for the resources needed to implement a PHM system in an organization. The focus of this study is on the problems that arise when facing the variety of prognostics models that can be applied. In order to respond to this, it seeks to establish a clear methodology for selecting prognostics models in the system design stages, through the incorporation of tools such as the House if Quality (HoQ) and the Analytic Hierarchical Process (AHP), which meets the characteristics of reduce the di_culty of analysis, consider multidisciplinary teams and have a multi-criteria perspective. The above was applied to a practical case and the results were satisfactory, obtaining a list of possible models to be applied according to the characteristics of the system considered for the study. For the correct implementation it is critical to have a previous study of the feasibility of implementing the PHM system in the organization, as well as the expert knowledge within it, in addition to considering a perspective focused on the failure of the system
Several studies have verified the benefits of having Prognostics and Health Management (PHM) systems in asset life cycle management, but these benefits are subject to a correct implementation of the PHM system, which will result in an e_ective and e_cient operation. Other publications, for example, have laid the foundation for the resources needed to implement a PHM system in an organization. The focus of this study is on the problems that arise when facing the variety of prognostics models that can be applied. In order to respond to this, it seeks to establish a clear methodology for selecting prognostics models in the system design stages, through the incorporation of tools such as the House if Quality (HoQ) and the Analytic Hierarchical Process (AHP), which meets the characteristics of reduce the di_culty of analysis, consider multidisciplinary teams and have a multi-criteria perspective. The above was applied to a practical case and the results were satisfactory, obtaining a list of possible models to be applied according to the characteristics of the system considered for the study. For the correct implementation it is critical to have a previous study of the feasibility of implementing the PHM system in the organization, as well as the expert knowledge within it, in addition to considering a perspective focused on the failure of the system
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Keywords
MODELO DE PROGNOSIS , PHM