Made available in DSpace on 2014-12-17T14:58:20Z (GMT). No. of bitstreams: 1 ChristianoJMC_DISSERT.pdf: 5726380 bytes, checksum: 57b5c167cfa539dfe52a09cb70e8a00e (MD5) Previous issue date: 2013-01-14 / Universidade Federal do Rio Grande do Norte / To enhance the maintenance practices, Oil and Gas Pipelines are inspected from the inside by automated systems called PIG (Pipeline Inspection Gauge). The inspection and mapping of defects, as dents and holes, in the internal wall of these pipelines are increasingly put into service toward an overall Structural Integrity Policy. The residual life of these structures must be determined such that minimize its probability of failure. For this reason, the investigation on the detection limits of some basic topological features constituted by peaks or valleys disposed along a smooth surface is of great value for determining the sensitivity of the measurements of defects from some combinations of circumferential, axial and radial extent. In this investigation, it was analyzed an inductive profilometric sensor to scan three races, radius r1, r2, r3, in a circular surface of low carbon steel, equipped with eight consecutive defects simulated by bulges and holes by orbit, equally spaced at p/4 rad. A test rig and a methodology for testing in laboratory were developed to evaluate the sensor response and identify their dead zones and jumps due to fluctuations as a function of topological features and scanning velocity, four speeds different. The results are presented, analyzed and suggestions are made toward a new conception of sensor topologies, more sensible to detect these type of damage morphologies / Para melhorar as pr?ticas de manuten??o, oleodutos e gasodutos s?o inspecionados internamente por sistemas automatizados denominados PIG (Pipeline Inspection Gauge). Uma inspe??o e mapeamento de danos, como ressaltos e rebaixos, na parede interna desses dutos s?o cada vez mais inseridos em pr?tica para uma pol?tica de Integridade Estrutural. A vida residual dessas estruturas deve ser determinada a fim de minimizar as probabilidades de falha. Por esta raz?o, a investiga??o no limite de detec??o de algumas caracter?sticas topol?gicas b?sicas constitu?das por picos e vales dispostas ao longo de uma superf?cie lisa ? de grande valia para a determina??o da sensibilidade nas medi??es de defeitos de alguns n?veis de combina??es circunferencial, axial e radial. Nesta pesquisa, foi analisado um sensor perfilom?trico indutivo para inspecionar tr?s ?rbitas, de raios r1, r2 e r3 numa superf?cie circular de a?o baixo carbono, equipado com oito danos consecutivos simulados por rebaixos e ressaltos, por ?rbita, uniformemente espa?adas de p/4 rad. Uma bancada de ensaio e uma metodologia para teste em laborat?rio foram desenvolvidos para avaliar a resposta do sensor e identificar suas zonas cegas devido ? flutua??o dos saltos como uma fun??o das caracter?sticas topol?gicas e inspe??o de velocidades quatro velocidades distintas. Os resultados s?o apresentados, analisados e sugest?es s?o feitas na dire??o de uma nova concep??o de topologias de sensores, mais sens?veis para detectar esses tipos de morfologias de danos

Em sistemas modernos de manutenção inteligente a qualidade de uma máquina ou equipamento depende do suporte que é fornecido junto com esse produto, com a confiabilidade e segurança na utilização do mesmo. Estas exigências, por vezes, não são cumpridas e podem estar indisponíveis em algumas máquinas. Este trabalho descreve uma abordagem utilizando sinais de vibração coletados em tempo real com falhas como estudo preliminar para uma abordagem mais profunda como estudo dametodologia de testes de vida acelerado para auxiliar durante a fase de vida operacional permitindo ao fabricante a determinação dos ciclos de vida do produto. A abordagem proposta construída em cima de experiências anteriores em desenvolvimento no projeto Integração de Sistemas Inteligentes de Manutenção e Cadeia de Fornecimento de Peças Sobressalentes. O objetivo deste trabalho é apresentar resultados preliminares analisando a variabilidade das assinaturas de falhas das engrenagens danificadas de maneira a permitir a identificação dos ciclos de vida do produto para partes específicas de um atuador elétrico. / In modern systems of intelligent maintenance the quality of a machine or equipment depends on the support that comes with this product, with the reliability and safety in the use of it. These requirements are sometimes not met and may be unavailable on some machines. This paper describes an approach using vibration signals collected in real-time with faults as a preliminary study for a deeper approach with the study of the methodology of accelerated life tests to assist during the operational life stage allowing the manufacturer the determination of the life cycles of product. The proposed approach built on previous experiences under development in the project Integration of Intelligent Systems of Maintenance and Chain of Supply of Spares. The objective of this work is to present preliminary results analyzing the variability of failure signatures of the damaged gears in order to allow the identification of product life cycles for specific parts of an electric actuator.

Orientador: Luís Gonzaga Trabasso / Dissertação (mestrado profissional) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica / Made available in DSpace on 2018-08-18T21:10:21Z (GMT). No. of bitstreams: 1 Santos_MarceloLimados_M.pdf: 2796450 bytes, checksum: 2b445c1dbad9c9f8fa26491057009ad6 (MD5) Previous issue date: 2011 / Resumo: Esse trabalho apresenta a aplicação do método QFD (Quality Function Deployment - Desdobramento da Função Qualidade) para a seleção de planos de ação para a melhoria do desempenho de serviços de manutenção industrial de uma empresa do setor automotivo. O método é aplicado na área de produção como ferramenta de mapeamento para selecionar as ações de melhoria do desempenho dos serviços de manutenção industrial. A dissertação aborda em sua fundamentação teórica três conteúdos necessários para que seja compreendida e acompanhada a proposta de aplicação do método. O primeiro tema apresenta conceitos sobre qualidade em serviços, as dimensões da qualidade em serviços e como a qualidade é percebida pelos clientes. O segundo conteúdo aborda conceitos relacionados à área de manutenção industrial apresentando uma visão geral da área de manutenção dentro da indústria. O terceiro assunto aborda o conceito de QFD e a aplicação do método na área de serviços. Abordados esses três conteúdos, é apresentada a aplicação do método na área de produção com o objetivo de selecionar planos de ação de manutenção de forma criteriosa e sistemática de acordo com a visão e as necessidades do cliente interno. Com a aplicação do método foi possível, dentre as várias dimensões de qualidade em serviços, definir doze dimensões adequadas à área de manutenção industrial e as três dimensões mais importantes na visão do cliente, que são segurança do trabalho, competência e confiabilidade. A aplicação do método QFD proporcionou determinar as necessidades do cliente inseridas nessas dimensões e selecionar os planos de ação prioritários para a melhoria dos serviços de manutenção industrial, dentre outros benefícios / Abstract: This work presents the QFD application (Quality Function Deployment) for the action plans selection for improving the industrial maintenance services performance of a company in the automotive sector. The method is applied in the production area as a mapping tool to select actions to improve the performance of industrial maintenance services. The paper discusses three theoretical in its content needed to be understood and supported the proposed application of the method. The first topic presents concepts of service quality, the dimensions of service quality and how quality is perceived by customers. The second deals with concepts related to content area of industrial maintenance presenting an overview of the maintenance area within the industry. The third issue addresses the concept and application of QFD method in the service area. Addressed these three content is presented the method in the production area in order to select carefully and systematically maintenance actions plans in accordance with the vision and the needs of the internal customer. With the method it was possible, among the various dimension of service quality, set twelve dimensions appropriate to the area of industrial maintenance and the three most important dimensions of the customer view, which are labor safety, competence and reliability. The QFD application method provided to determine the client's needs included in these dimensions and select the priority action plans for the improvement of industrial maintenance services, among other benefits / Mestrado / Projetos / Mestre em Engenharia Automobilistica

Följande avhandlingsarbete har utförts som en fallstudie på BillerudKorsnäs tillsammans med en litteraturstudie som har gett upphov till den teoretiska referensram som grundläggande lagt grunden för mätstrukturen Key Performance Indicators (KPI) utformad för underhållsorganisationen. Vidare har datainsamling i form av intern och extern benchmarking tillsammans med dokumentstudier, semistrukturerade intervjuer och strukturerade observationer genomförts för att få en fullständig redogörelse för den aktuella situationen i enlighet med riktlinjerna för examensarbete på högskolenivå. Examensarbetet täcker ämnet för underhållsteknik och syftar till att kartlägga underhållsstrategin för att kunna utforma en Key Performance Indikator (KPI: s) mätstruktur för BillerudKorsnäs. Examensarbetet ger därefter upphov till analysavsnittet som med stöd av den teoretiska referensramen redogör för det förbättringsförslag och framtida rekommendationer att belysa för ett underhåll och driftsäkerhet i världsklass. Studien framställer underhållsverksamheten med utgångspunkt från svensk standard och en ledande och eftersläpande mätetalsstruktur som vetenskapligt underlag. Detta har resulterat i en tydligt definierat underhållsstrategi med nyckeltalsprestationer för en underhållsorganisation där underhållstrategin är kopplad till företagets vision och strategi. Frågeställningen som är kopplad till problemformuleringen genomsyrar arbetet och handlar om att redogöra för hur man kan anknyta till underhållstrategin och redogöra för vilka KPI:er som skall redovisas, för att skapa en effektiv och produktiv underhållsverksamhet som arbetar i enlighet med de mål man satt upp på BillerudKorsnäs- Sulfatfabrik. Resultatet från det bedrivna arbetet visar att KPI-strukturen inte är i enlighet med den underhållstrategi BillerudKorsnäs på koncernnivå fastställt, vidare så påvisar nyckeltalen inte ett effektmätetal relevant för underhållsverksamheten och fabriksledningen. Genom förbättringsförslaget som föreslås tas en ny KPI-struktur fram som ger en mätbarhet till underhållsverksamheten och är kopplad till BillerudKorsnäs vision och strategi för ”Bästa arbetsätt” inom underhåll och driftsäkerhet i världsklass. / The following thesis work has been carried out as a case study at BillerudKorsnäs together with a literature study which has given rise to the theoretical frame of reference which fundamentally laid the foundation for the Key Performance Indicators (KPI’s) measurement structure designed for the company. Furthermore, data collection in the form of internal and external benchmarking together with document studies, semi-structured interviews and structured observations has been carried out in order to get a complete view of the current situation as possible in accordance with the guidelines for scientific research approach. The research covers the subject area of ​​maintenance technology and aims to map the maintenance strategy to be able to design a (KPI’s) measurement structure for BillerudKorsnäs maintenance organization. The thesis then gives rise to the analysis section which, with the support of the theoretical frame of reference, describes the improvement proposals and future recommendations to elucidate world-class maintenance and reliability. The study presents maintenance operations based on Swedish standards and “leading and lagging” measurement structure as a scientific basis. This has resulted in a defined metric structure with key performance measures for a maintenance organization where the maintenance strategy is connected to the company's vision and strategy. The question linked to the problem formulation permeates the research and is about explaining how to link to the maintenance strategy and describing which KPIs are to be reported, in order to create an efficient and productive maintenance organization that functions in accordance to the maintenance goals set on BillerudKorsnäs- Sulfatfabrik. The results of the conducted research show that the KPI- structure has not been established in accordance with BillerudKorsnäs' maintenance strategy at a cooperation level, furthermore, the key figures do not show an effect metric relevant to the maintenance operations and the factory management. The proposed improvement proposal proposes a new KPI- structure that provides measurability to the industrial maintenance operation and is symmetrical with BillerudKorsnäs vision and strategy for "Best working methods" in world-class maintenance and reliability.

Forecasts are important to decision-making and risk assessment in many domains. Since current database systems do not provide integrated support for forecasting, it is usually done outside the database system by specially trained experts using forecast models. However, integrating model-based forecasting as a first-class citizen inside a DBMS speeds up the forecasting process by avoiding exporting the data and by applying database-related optimizations like reusing created forecast models. It especially allows subsequent processing of forecast results inside the database. In this demo, we present our prototype F2DB based on PostgreSQL, which allows for transparent processing of forecast queries. Our system automatically takes care of model maintenance when the underlying dataset changes. In addition, we offer optimizations to save maintenance costs and increase accuracy by using derivation schemes for multidimensional data. Our approach reduces the required expert knowledge by enabling arbitrary users to apply forecasting in a declarative way.