Master’s thesis is focused on the technical systems reliability analysis. The first part of the thesis contains the description of the most commonly used reliability parameters and random variable probability distributions. Reliability of a human operator is described in the separate chapter. In the next part of the thesis are mentioned different types of reliability diagrams and methods of reliability analysis. Reliability analysis using Monte Carlo approach is described in the extra chapter. In the thesis are described several software tools, which can be used for systems reliability analysis. Design of PLC system with a human operator is done in the thesis. Reliability analysis using Monte Carlo approach is done on the designed PLC system. Results of Monte Carlo approach are compared with analytically calculated values and with values from reliability software.

La tesis doctoral que nos acontece, muestra las premisas básicas acerca de la investigación que se realiza sobre la implantación de Mantenimiento Preventivo y Predictivo en industrias de Proceso, gracias al desarrollo y personalización de la metodología RCM a partir del AMFEC. La metodología RCM, sirve para determinar las actividades de mantenimiento reactivas y proactivas, con objeto de optimizar la fiabilidad de los activos industriales. Como antecedentes de la tesis doctoral se comenta que la metodología RCM, sirve para determinar las actividades de mantenimiento reactivas y proactivas, con objeto de optimizar la fiabilidad de los activos industriales. Se basa en la obra de John Moubray, donde se basa la implantación del RCM en 7 preguntas. Los métodos de cálculo de criticidades que actualmente se reflejan en los estudios actuales, denotan la oportunidad de desarrollo de métodos de cálculo donde se tengan en cuenta multitud de variables. El número de ponderación del riesgo (NPR) para cada modo de fallo, viene calculándose en función de tres parámetros gravedad, frecuencia de fallos y detectabilidad, siendo habitualmente valorados de 1 a 10, pero invariantes ante variaciones de parámetros técnicos y de operación. Los planes de mantenimiento, aunque bien definidos por las obras de expertos, se vislumbra la oportunidad de desarrollarlos en función de tipos de equipo, tipos de mantenimiento y criticidad de NPR de modos de fallos. Los estudios de indicadores de gestión, son amplios y muy bien desarrollados, aunque para la detección de repeticiones de incidencias en el Mantenimiento Correctivo, se requiere de una definición o desarrollo. El objetivo principal del presente estudio es ayudar a la implantación de un método de gestión técnica y económica de activos, basado en la actual implantación de RCM, Mantenimiento Peventivo e indicadores de gestión y definir un método para implantar Mantenimiento Preventivo y Predictivo, controlar las incidencias, costes y aplicar soluciones técnico-económicas. / Gardella González, M. (2010). Mejora de metodología RCM a partir del AMFEC e implantación de mantenimiento preventivo y predictivo en plantas de procesos [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/9686 / Palancia

The purpose of this thesis is to implement Total Productive Maintenance (TPM) in Nigeria Plastics Manufacturing Company. Manufacturing companies round the world pay huge amount of money for purchasing new equipments to boost their production however nothing or little is done to achieve or obtain full output from the machine for which it is intended to do. Small losses in time or deviations from planned or calculated capability are taken as usual machine performance. But currently as a result of improved capability levels and demand of quality product at lower prices, purchasing latest machine/equipment is not a way out unless it is completely used. Total Productive Maintenance (TPM) is a method that involve everybody totally, from high management to all workers to implement a complete maintenance program for all machine/equipment during its life. This method ends up in most effectiveness of tools, equipment, virtuously improved workers, tidy up working area, neat and clean working environment. A structure is going to be developed with the potential of evaluating the impact of implementing total productive maintenance within. By evaluating the result or outcome of Total Productive Maintenance (TPM), manufacturing companies can create sensible/smart decisions to improve the potency and standard of the machine, equipment and also the product on XYZ Plastics Manufacturing Company in Nigerian.

This master thesis examines the functional safety of the pressure sensor XMP i which is produced by BD SENSORS Company. The aim of this thesis is the demonstration of compliance of the pressure sensor XMP I with functional safety integrity level SIL3 requirements. The thesis is divided into three parts. The first part deals with the concept of functional safety, defines the basic concepts of functional safety, compares the approaches of functional safety according to selected standards and provides a general procedure for the functional safety determination. The second part deal with technical systems reliability defines reliability indicators and describes selected types of reliability analysis used in practice, especially the FMEA/FMECA analysis. Third part deals with the reliability analysis of the sensor XMP i and with evaluation of results.