836 resultados para Operational reliability


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[ES] La progresiva implantación de plantas de tratamiento de aguas residuales urbanas ha ido estableciendo una experiencia en el conocimiento de la eficacia de tratamiento de los diversos parámetros en plazos largos de funcionamiento. El análisis y comparación de resultados y tecnologías debe pennitir conocer las características de fiabilidad en la operación y el comportamiento frente a los diversos aspectos de la nonnativa legal. Además, el análisis en diferentes épocas del año puede producir distintos resultados o conclusiones. En este trabajo se ha tomado para el análisis una planta de tratamiento convencional, estudiando inicialmente los porcentajes medios de eliminación de diferentes parámetros, en relación asimismo con las necesidades que debe satisfacer. En condiciones de alta carga orgánica, la concentración de nitrógeno y algún tóxico especial parecen plantear las mayores dificultades. Se ha deseado focalizar la atención en el proceso de concentración de metales que se. produce en las plantas con tratamiento anaerobío de fangos. Por este motivo se Uevó a cabo un estudio de la evolución de metales en la depuración y la concentración de fangos digeridos. El fenómeno resulta de interés para analizar la calidad de las aguas que se obtienen, aunque debe considerarse también la concentración de metales en el destino final que se dé a los fangos tratados.

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O projeto de Estações de Tratamento de Efluentes Industriais (ETEIs) deve objetivar um desempenho médio, o qual não pode ser ultrapassado certo número de vezes durante seu tempo operacional. Este trabalho propõe a aplicação da metodologia conhecida como Coeficiente de Confiabilidade (CDC) para quantificação da confiabilidade das etapas de tratamento físico (Separação Águaóleo SAO e flotação) e biológico (lodos ativados com aeração prolongada), considerando efluente oleoso proveniente de refino de petróleo. Tal metodologia, entretanto, não possibilita a identificação das prováveis causas do baixo desempenho na tratabilidade. Por isso também é proposta a aplicação da ferramenta de gestão riscos conhecida como FMECA (Failure Modes, Effects and Criticality Analysis), que permite a quantificação das observações qualitativas de campo, tornando os valores comparáveis para definir a hierarquização dos riscos e criticidade das etapas de tratamento estudadas. A etapa biológica para o parâmetro NH3 apresentou a maior confiabilidade, ainda que a análise de risco tenha apontado esta etapa como mais crítica. Ou seja, um sistema confiável não necessariamente apresenta menor criticidade, pois uma má gestão implicará em possíveis infrações às metas pré-fixadas ou à própria legislação ambiental.

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The real-time monitoring of events in an industrial plant is vital, to monitor the actual conditions of operation of the machinery responsible for the manufacturing process. A predictive maintenance program includes condition monitoring of the rotating machinery, to anticipate possible conditions of failure. To increase the operational reliability it is thus necessary an efficient tool to analyze and monitor the equipments, in real-time, and enabling the detection of e.g. incipient faults in bearings. To fulfill these requirements some innovations have become frequent, namely the inclusion of vibration sensors or stator current sensors. These innovations enable the development of new design methodologies that take into account the ease of future modifications, upgrades, and replacement of the monitored machine, as well as expansion of the monitoring system. This paper presents the development, implementation and testing of an instrument for vibration monitoring, as a possible solution to embed in industrial environment. The digital control system is based on an FPGA, and its configuration with an open hardware design tool is described. Special focus is given to the area of fault detection in rolling bearings. © 2012 IEEE.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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With the growth of the demand on electric energy in the last decades, the urban distribution and transmission systems have experienced a bigger necessity to improve on the substations, the automation procedures and techniques on the operation maneuvers of such systems, in a sense that better attends the quality levels, availability, continuity and operational reliability. In this way, the objective of the present paper is to perform a study of protection and control on an electrical industrial system involving the procedures of digitizing and maneuvers automatism utilizing operational techniques and other pertinent information used in a typical high-voltage Industrial Electrical System. Analysis were made on short-circuits to specify the main components of the 138 [kV] substation, in addition, there were used digital MiCOM relays to make the protection of the present elements. With that, a program was developed to allow the user to monitor the condition of circuit-breakers through a supervision screen being able to simulate some kinds of faults, as well as observing the characteristics of each device. This way, the importance of having a fast and reliable system that ensures the equipment’s protection and the industrial process continuity due to faults on the electrical system is noticeable. It’s important to highlight that all this digitizing was mainly favored by the development of digital technology on the last years, mainly on microelectronics, also with the appearance of supervision gadgets allowing the development of complex systems in supervision and electric energy control

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Spinpolarisationsmessungen an freien Elektronen sind seit ihrer ersten Verwirklichung durch Mott anspruchsvoll geblieben. Die relevante Größe eines Spinpolarimeters ist seine Gütefunktion, FoM = S^2*I/I_0, mit der Asymmetriefunktion S und dem Verhältnis aus Streu- und Primärintensität I/I_0. Alle bisherigen Geräte basieren auf einer einkanaligen Streuung (Spin-Bahn- oder Austauschwechselwirkung), die durch FoM = 10^(-4) charakterisiert ist. Moderne Halbkugelanalysatoren ermöglichen hingegen eine effiziente Vielkanaldetektion der spinintegralen Intensität mit mehr als 10^4 simultan erfassten Datenpunkten. Im Vergleich zwischen spinaufgelöster und spinintegraler Elektronenspektroskopie findet man somit einen Effizienzunterschied von 8 Größenordnungen.rnDie vorliegende Arbeit beschäftigt sich mit der Entwicklung und Untersuchung eines neuartigen Verfahrens zur Effizienzsteigerung in der spinaufgelösten Elektronenspektroskopie unter Ausnutzung von Vielkanaldetektion. Der Spindetektor wurde in eine µ-metallgeschirmte UHV-Kammer integriert und hinter einem konventionellen Halbkugelanalysator angebracht. Durch elektronenoptische Simulationen wurde die Geometrie des elektrostatischen Linsensystems festgelegt. Das Grundkonzept basiert auf der k(senkrecht)-erhaltenden elastischen Streuung des (0,0)-Spekularstrahls an einem W(100)- Streukristall unter einem Einfallswinkel von 45°. Es konnte gezeigt werden, dass etwarn960 Datenpunkte (15 Energie- und 64 Winkelpunkte) in einem Energiebereich vonrnetwa 3 eV simultan auf einen Delayline-Detektor abgebildet werden können. Dies führt zu einer zweidimensionalen Gütefunktion von FoM_2D = 1,7. Verglichen mit konventionellen Spindetektoren ist der neuartige Ansatz somit durch einen Effizienzgewinn von 4 Größenordnungen gekennzeichnet.rnDurch Messungen einer Fe/MgO(100) und O p(1x1)/Fe(100)-Probe konnte die Funktionstüchtigkeit des neuen Spinpolarimeters nachgewiesen werden, indem die aus der Literatur bekannten typischen UPS-Ergebnisse mit stark verkürzter Messzeit reproduziert wurden. Durch die hohe Effizienz ist es möglich, besonders reaktive Oberflächen in kurzer Zeit zu vermessen. Dieser Vorteil wurde bereits für eine erste grundlagenorientierte Anwendung genutzt: Als Test für die Gültigkeit von Bandstrukturrechnungen für die Heusler-Verbindung Co_2MnGa, wobei eine gute Übereinstimmung zwischen Theorie und Experiment gefunden wurde.rnMit dem Vielkanal-Spinfilter wurde die Grundlage zu einem um Größenordnungen verbesserten Messverfahren der Elektronenspin-Polarisation geschaffen und damit der Zugang zu Experimenten eröffnet, die mit den bisherigen einkanaligen Detektoren nicht möglich sind.rn

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O transformador de potência é um importante equipamento utilizado no sistema elétrico de potência, responsável por transmitir energia elétrica ou potência elétrica de um circuito a outro e transformar tensões e correntes de um circuito elétrico. O transformador de potência tem ampla aplicação, podendo ser utilizado em subestações de usinas de geração, transmissão e distribuição. Neste sentido, mudanças recentes ocorridas no sistema elétrico brasileiro, causadas principalmente pelo aumento considerável de carga e pelo desenvolvimento tecnológico tem proporcionado a fabricação de um transformador com a aplicação de alta tecnologia, aumentando a confiabilidade deste equipamento e, em paralelo, a redução do seu custo global. Tradicionalmente, os transformadores são fabricados com um sistema de isolação que associa isolantes sólidos e celulose, ambos, imersos em óleo mineral isolante, constituição esta que define um limite à temperatura operacional contínua. No entanto, ao se substituir este sistema de isolação formado por papel celulose e óleo mineral isolante por um sistema de isolação semi- híbrida - aplicação de papel NOMEX e óleo vegetal isolante, a capacidade de carga do transformador pode ser aumentada por suportar maiores temperaturas. Desta forma, o envelhecimento do sistema de isolação poderá ser em longo prazo, significativamente reduzido. Esta técnica de aumentar os limites térmicos do transformador pode eliminar, essencialmente, as restrições térmicas associadas à isolação celulósica, provendo uma solução econômica para aperfeiçoar o uso de transformadores de potência, aumentando a sua confiabilidade operacional. Adicionalmente, à aplicação de sensores de fibra óptica, em substituição aos sensores de imagem térmica no monitoramento das temperaturas internas do transformador, se apresentam como importante opção na definição do equacionamento do comportamento do transformador sob o ponto de vista térmico.

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This study presents two novel methods for treating important environmental contaminants from two different wastewater streams. One process utilizes the kinetic advantages and reliability of ion exchanging clinoptilolite in combination with biological treatment to remove ammonium from municipal sewage. A second process, HAMBgR (Hybrid Adsorption Membrane Biological Reactor), combines both ion exchange resin and bacteria into a single reactor to treat perchlorate contaminated waters. Combining physicochemical adsorptive treatment with biological treatment can provide synergistic benefits to the overall removal processes. Ion exchange removal solves some of the common operational reliability limitations of biological treatment, like slow response to environmental changes and leaching. Biological activity can in turn help reduce the economic and environmental challenges of ion exchange processes, like regenerant cost and brine disposal. The second section of this study presents continuous flow column experiments, used to demonstrate the ability of clinoptilolite to remove wastewater ammonium, as well as the effectiveness of salt regeneration using highly concentrated sea salt solutions. The working capacity of clinoptilolite more than doubled over the first few loading cycles, while regeneration recovered more than 98% of ammonium. Using the regenerant brine for subsequent halotolerant algae growth allowed for its repeated use, which could lead to cost savings and production of valuable algal biomass. The algae were able to uptake all ammonium in solution, and the brine was able to be used again with no loss in regeneration efficiency. This process has significant advantages over conventional biological nitrification; shorter retention times, wider range of operational conditions, and higher quality effluent free of nitrate. Also, since the clinoptilolite is continually regenerated and the regenerant is rejuvenated by algae, overall input costs are expected to be low. The third section of this study introduces the HAMBgR process for the elimination of perchlorate and presents batch isotherm experiments and pilot reactor tests. Results showed that a variety of ion-exchange resins can be effectively and repeatedly regenerated biologically, and maintain an acceptable working capacity. The presence of an adsorbent in the HAMBgR process improved bioreactor performance during operational fluctuations by providing a physicochemical backup to the biological process. Pilot reactor tests showed that the HAMBgR process reduced effluent perchlorate spikes by up to 97% in comparison to a conventional membrane bio-reactor (MBR) that was subject to sudden changes in influent conditions. Also, the HAMBgR process stimulated biological activity and lead to higher biomass concentrations during increased contaminant loading conditions. Conventional MBR systems can be converted into HAMBgR’s at a low cost, easily justifiable by the realized benefits. The concepts employed in the HAMBgR process can be adapted to treat other target contaminants, not just perchlorate.

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BackgroundThe aim of the present study was to evaluate the feasibility of using a telephone survey in gaining an understanding of the possible herd and management factors influencing the performance (i.e. safety and efficacy) of a vaccine against porcine circovirus type 2 (PCV2) in a large number of herds and to estimate customers¿ satisfaction.ResultsDatasets from 227 pig herds that currently applied or have applied a PCV2 vaccine were analysed. Since 1-, 2- and 3-site production systems were surveyed, the herds were allocated in one of two subsets, where only applicable variables out of 180 were analysed. Group 1 was comprised of herds with sows, suckling pigs and nursery pigs, whereas herds in Group 2 in all cases kept fattening pigs. Overall 14 variables evaluating the subjective satisfaction with one particular PCV2 vaccine were comingled to an abstract dependent variable for further models, which was characterized by a binary outcome from a cluster analysis: good/excellent satisfaction (green cluster) and moderate satisfaction (red cluster). The other 166 variables comprised information about diagnostics, vaccination, housing, management, were considered as independent variables. In Group 1, herds using the vaccine due to recognised PCV2 related health problems (wasting, mortality or porcine dermatitis and nephropathy syndrome) had a 2.4-fold increased chance (1/OR) of belonging to the green cluster. In the final model for Group 1, the diagnosis of diseases other than PCV2, the reason for vaccine administration being other than PCV2-associated diseases and using a single injection of iron had significant influence on allocating into the green cluster (P¿<¿0.05). In Group 2, only unchanged time or delay of time of vaccination influenced the satisfaction (P¿<¿0.05).ConclusionThe methodology and statistical approach used in this study were feasible to scientifically assess ¿satisfaction¿, and to determine factors influencing farmers¿ and vets¿ opinion about the safety and efficacy of a new vaccine.

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Experiences in decentralized rural electrification programmes using solar home systems have suffered difficulties during the operation and maintenance phase, due in many cases, to the underestimation of the maintenance cost, because of the decentralized character of the activity, and also because the reliability of the solar home system components is frequently unknown. This paper reports on the reliability study and cost characterization achieved in a large photovoltaic rural electrification programme carried out in Morocco. The paper aims to determinate the reliability features of the solar systems, focusing in the in-field testing for batteries and photovoltaic modules. The degradation rates for batteries and PV modules have been extracted from the in-field experiments. On the other hand, the main costs related to the operation and maintenance activity have been identified with the aim of establishing the main factors that lead to the failure of the quality sustainability in many rural electrification programmes.

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Pipelines play an important role in the modern society. Failures of pipelines can have great impacts on economy, environment and community. Preventive maintenance (PM) is often conducted to improve the reliability of pipelines. Modern asset management practice requires accurate predictability of the reliability of pipelines with multiple PM actions, especially when these PM actions involve imperfect repairs. To address this issue, a split system approach (SSA) based model is developed in this paper through an industrial case study. This new model enables maintenance personnel to predict the reliability of pipelines with different PM strategies and hence effectively assists them in making optimal PM decisions.

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Accurate reliability prediction for large-scale, long lived engineering is a crucial foundation for effective asset risk management and optimal maintenance decision making. However, a lack of failure data for assets that fail infrequently, and changing operational conditions over long periods of time, make accurate reliability prediction for such assets very challenging. To address this issue, we present a Bayesian-Marko best approach to reliability prediction using prior knowledge and condition monitoring data. In this approach, the Bayesian theory is used to incorporate prior information about failure probabilities and current information about asset health to make statistical inferences, while Markov chains are used to update and predict the health of assets based on condition monitoring data. The prior information can be supplied by domain experts, extracted from previous comparable cases or derived from basic engineering principles. Our approach differs from existing hybrid Bayesian models which are normally used to update the parameter estimation of a given distribution such as the Weibull-Bayesian distribution or the transition probabilities of a Markov chain. Instead, our new approach can be used to update predictions of failure probabilities when failure data are sparse or nonexistent, as is often the case for large-scale long-lived engineering assets.

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Urban transit system performance may be quantified and assessed using transit capacity and productive capacity for planning, design and operational management. Bunker (4) defines important productive performance measures of an individual transit service and transit line. Transit work (p-km) captures transit task performed over distance. Transit productiveness (p-km/h) captures transit work performed over time. This paper applies productive performance with risk assessment to quantify transit system reliability. Theory is developed to monetize transit segment reliability risk on the basis of demonstration Annual Reliability Event rates by transit facility type, segment productiveness, and unit-event severity. A comparative example of peak hour performance of a transit sub-system containing bus-on-street, busway, and rail components in Brisbane, Australia demonstrates through practical application the importance of valuing reliability. Comparison reveals the highest risk segments to be long, highly productive on street bus segments followed by busway (BRT) segments and then rail segments. A transit reliability risk reduction treatment example demonstrates that benefits can be significant and should be incorporated into project evaluation in addition to those of regular travel time savings, reduced emissions and safety improvements. Reliability can be used to identify high risk components of the transit system and draw comparisons between modes both in planning and operations settings, and value improvement scenarios in a project evaluation setting. The methodology can also be applied to inform daily transit system operational management.

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Urban transit system performance may be quantified and assessed using transit capacity and productive capacity for planning, design and operational management. Bunker (4) defines important productive performance measures of an individual transit service and transit line. Transit work (p-km) captures transit task performed over distance. Transit productiveness (p-km/h) captures transit work performed over time. This paper applies productive performance with risk assessment to quantify transit system reliability. Theory is developed to monetize transit segment reliability risk on the basis of demonstration Annual Reliability Event rates by transit facility type, segment productiveness, and unit-event severity. A comparative example of peak hour performance of a transit sub-system containing bus-on-street, busway, and rail components in Brisbane, Australia demonstrates through practical application the importance of valuing reliability. Comparison reveals the highest risk segments to be long, highly productive on street bus segments followed by busway (BRT) segments and then rail segments. A transit reliability risk reduction treatment example demonstrates that benefits can be significant and should be incorporated into project evaluation in addition to those of regular travel time savings, reduced emissions and safety improvements. Reliability can be used to identify high risk components of the transit system and draw comparisons between modes both in planning and operations settings, and value improvement scenarios in a project evaluation setting. The methodology can also be applied to inform daily transit system operational management.