My graduation work is focused on logistics aplication at specific provider of logistics services. In theoretical part I describe development of logistics, types and links of supply chain and supply chain in automotive industry. In my application part I describe company GEFCO and car producer TPCA. I analyse present situation, standard and non-standard activities solved by department GEFCO Overland. Next I appreciate questionnaire survey, where I find out hot company's problems and try to give their solution that can increase effectivity, decrease costs and provide more valuable services to company's customers.

The work is focused on the use of artificial intelligence techniques in the industry and in systems for monitoring machines. In the practical part, the work focuses on the construction of a convolutional neural network and its testing on real data for diagnosing the state of the machine.

No description available.

No description available.

Für Offshore-Windenergieanlagen (OWEA) wird die Überwachung mittels Monitoringsystemen immer wichtiger für den effizienten Betrieb. Problematisch ist, dass nicht nur die OWEA selbst, sondern auch die Monitoringsysteme altern. Für verlässliche Monitoringsysteme müssen daher auch deren Alterungsprozesse analysiert werden, damit das System lebensdauerumfassend an der OWEA verwendbar ist. Hierfür wurden Laser-Triangulationssensoren untersucht, die unterschiedlichen Temperaturen und Luftfeuchten ausgesetzt wurden. Das Messsignal wurde temperaturkompensiert und hinsichtlich seiner Messunsicherheit bewertet. Ferner ergaben erste Alterungsversuche, dass noch keine signifikanten Alterungserscheinungen aufgetreten sind.

[pt] Turbinas a gás são equipamentos muito complexos e caros. No caso de falha em uma turbina, há obviamente perdas diretas, mas as indiretas são normalmente muito maiores, uma vez que tal equipamento é crítico para a operação de instalações industriais, aviões e veículos pesados. Portanto, é fundamental que turbinas a gás sejam providas com um sistema eficiente de monitoramento e diagnóstico. Isto é especialmente relevante no Brasil, cuja frota de turbinas tem crescido muito nos últimos anos, devido, principalmente, ao aumento do número de usinas termelétricas e ao crescimento da aviação civil. Este trabalho propõe um Sistema de Inferência Fuzzy (SIF) com extração automática de regras para diagnóstico de desempenho de turbinas a gás aeronáuticas. O sistema proposto faz uso de uma abordagem residual – medições da turbina real são comparadas frente a uma referência de turbina saudável – para tratamento dos dados brutos de entrada para os módulos de detecção e isolamento, que, de forma hierárquica, são responsáveis por detectar e isolar falhas em nível de componentes, sensores e atuadores. Como dados reais de falhas em turbinas a gás são de difícil acesso e de obtenção cara, a metodologia é validada frente a uma base de dados de falhas simuladas por um software especialista. Os resultados mostram que o SIF é capaz de detectar e isolar corretamente falhas, além de fornecer interpretabilidade linguística, característica importante no processo de tomada de decisão no contexto de manutenção. / [en] A Gas turbine is a complex and expensive equipment. In case of a failure indirect losses are typically much larger than direct ones, since such equipment plays a critical role in the operation of industrial installations, aircrafts, and heavy vehicles. Therefore, it is vital that gas turbines be provided with an efficient monitoring and diagnostic system. This is especially relevant in Brazil, where the turbines fleet has risen substantially in recent years, mainly due to the increasing number of thermal power plants and to the growth of civil aviation. This work proposes a Fuzzy Inference System (FIS) with automatic rule extraction for gas path diagnosis. The proposed system makes use of a residual approach – gas path measurements are compared to a healthy engine reference – for preprocessing raw input data that are forwarded to the detection and isolation modules. These operate in a hierarchical manner and are responsible for fault detection and isolation in components, sensors and actuators. Since gas turbines failure data are difficult to access and expensive to obtain, the methodology is validated by using a database fault simulated by a specialist software. The results show that the SIF is able to correctly detect and isolate failures and to provide linguistic interpretability, which is an important feature in the decision-making process regarding maintenance.

yes / Small arms and light weapons can enter the illicit market at many stages in their lifecycle. From manufacture, to sale/export, to import, and then to final end use, States must establish and enforce stringent and comprehensive licensing and monitoring systems to ensure that small arms and light weapons (SALW) remain under legal control. The UN Conference on the Illicit Trade in Small Arms and Light Weapons in All Its Aspects and ensuing follow-up process provide States with important opportunities to analyse and compare how existing systems governing the manufacture and trade in SALW are working. They further provide the context in which best practice can be agreed and implemented internationally, and for the discussion of how future trends and developments in SALW manufacture and transfer can be more effectively brought within State control. To this end, this briefing paper covers two separate but closely related issues. The first section of the report will analyse existing State and regional controls on SALW manufacture and examine how international measures, including the UN Conference, can reinforce such controls. In this regard, the growth of licensed production and co-production agreements is highlighted, together with implications for the development of adequate regulations. The second section examines those systems that are currently in place for the authorisation of SALW transfers and for the certification and monitoring of their ultimate end-use. Recommendations for best practice and implications for the UN Conference process are also discussed.

Submitted by Marco Antonio Oliveira da Silva (maosilva@ipen.br) on 2016-12-21T12:55:48Z No. of bitstreams: 0 / Made available in DSpace on 2016-12-21T12:55:48Z (GMT). No. of bitstreams: 0 / O reator IEA-R1 do Instituto de Pesquisas Energéticas e Nucleares (IPENCNEN/ SP) é um reator de pesquisa tipo piscina aberta, projetado e construído pela empresa norte-americana \"Babcock & Wilcox\", tendo, como refrigerante e moderador, água leve deionizada e berílio e grafite como refletores. Até cerca de 1988, os sistemas de segurança do reator recebiam alimentação de uma única fonte de energia. Nos anos de 1989 e 1990, uma reforma de modernização do sistema elétrico para aumentar a potência do reator e, também, para atender às normas técnicas da Comissão Nacional de Energia Nuclear (CNEN) e da Associação Brasileira de Normas Técnicas (ABNT) foi realizada. Este trabalho tem o objetivo de mostrar a relação entre o sistema de energia elétrica e a segurança do reator IEA-R1. Além disso, ele demonstra que, caso ocorra alguma interrupção de energia elétrica durante a operação do reator, esta ocorrência não irá começar um evento de acidente. / Dissertação (Mestrado em Tecnologia Nuclear) / IPEN/D / Instituto de Pesquisas Energéticas e Nucleares - IPEN-CNEN/SP

Submitted by Marco Antonio Oliveira da Silva (maosilva@ipen.br) on 2016-12-21T15:07:24Z No. of bitstreams: 0 / Made available in DSpace on 2016-12-21T15:07:24Z (GMT). No. of bitstreams: 0 / O progresso de projetos anteriores salientou a necessidade de tratar o problema dos softwares para detecção, a partir de bases de dados de publicações científicas, de tendências emergentes de pesquisa e desenvolvimento. Evidenciou-se a carência de aplicações computacionais eficientes dedicadas a este propósito, que são artigos de grande utilidade para um melhor planejamento de programas de pesquisa e desenvolvimento em instituições. Foi realizada, então, uma revisão dos softwares atualmente disponíveis, para poder-se delinear claramente a oportunidade de desenvolver novas ferramentas. Como resultado, implementou-se um aplicativo chamado Citesnake, projetado especialmente para auxiliar a detecção e o estudo de tendências emergentes a partir da análise de redes de vários tipos, extraídas das bases de dados científicas. Através desta ferramenta computacional robusta e eficaz, foram conduzidas análises de frentes emergentes de pesquisa e desenvolvimento na área de Sistemas Geradores de Energia Nuclear de Geração IV, de forma que se pudesse evidenciar, dentre os tipos de reatores selecionados como os mais promissores pelo GIF - Generation IV International Forum, aqueles que mais se desenvolveram nos últimos dez anos e que se apresentam, atualmente, como os mais capazes de cumprir as promessas realizadas sobre os seus conceitos inovadores. / Dissertação (Mestrado em Tecnologia Nuclear) / IPEN/D / Instituto de Pesquisas Energéticas e Nucleares - IPEN-CNEN/SP

Human body temperature is an important indicator of physical performance and condition in terms of comfort, heat or cold stress. The aim of this research was to develop Temperature Sensing Fabric (TSF) for continuous temperature measurement in healthcare applications. The study covers the development and manufacture of TSF by embedding fine metallic wire into the structure of textile material using a commercial computerised knitting machine. The operational principle of TSF is based on the inherent propensity of a metal wire to respond to changes in temperature with variation in its electrical resistance. Over 60 TSF samples were developed with combinations of different sensing elements, two inlay densities and highly textured polyester yarn as the base material. TSF samples were created using either bare or insulated wires with a range of diameters from 50 to 150 μm and metal wires of nickel, copper, tungsten, and nickel coated copper. In order to investigate the Temperature-Resistance (T-R) relationship of TSF samples for calibration purposes, a customised test rig was developed and monitoring software was created in the LabVIEW environment, to record the temperature and resistance signals simultaneously. TSF samples were tested in various thermal environments, under laboratory conditions and in practical wear trials, to analyse the relationship between the temperature and resistance of the sensing fabric and to develop base line specifications such as sensitivity, resistance ratio, precision, nominal resistance, and response time; the influence of external parameters such as humidity and strain were also monitored. The regression uncertainty was found to be less than in ±0.1°C; the repeatability uncertainty was found to be less than ±0.5°C; the manufacturing uncertainty in terms of nominal resistance was found to be ± 2% from its mean. The experimental T-R relationship of TSF was validated by modelling in the thermo-electrical domain in both steady and transient states. A maximum error of 0.2°C was found between the experimental and modelled T-R relationships. TSF samples made with bare wire sensing elements showed slight variations in their resistance during strain tests, however, samples made with insulated sensing elements did not demonstrate any detectable strain-dependent-resistance error. The overall thermal response of TSF was found to be affected by basal fabric thickness and mass; the effect of RH was not found to be significant. TSF samples with higher-resistance sensing elements performed better than lower-resistance types. Furthermore, TSF samples made using insulated wire were more straightforward to manufacture because of their increased tensile strength and exhibited better sensing performance than samples made with bare wire. In all the human body wear trials, under steady-state and dynamic conditions both sensors followed the same trends and exhibited similar movement artifacts. When layers of clothing were worn over the sensors, the difference between the response of the TSF and a high-precision reference temperature were reduced by the improved isothermal conditions near the measurement site.