4 resultados para High Reliability
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
The present study had as objective translates, to do equivalence and validation of the Utian Quality of Life (UQOL) for the Brazilian population through methods internationally accepted, in which the original questionnaire was translated for the Portuguese by three teachers and the consensual version was translated back for English by two American teachers (back translation). A multidisciplinary committee evaluated all versions and the final version in Portuguese was applied to climacteric women for the process of adaptation. Validation of the instrument was performed by measuring the reliability and validity properties. Construct validity was examined through the comparison between UQOL and the general measuring scale of quality of life Short Form-36 (SF-36). The final version of translation process was easily recognized by the target population, that didn't tell understanding problems. The results obtained for the reliability intra and interobserver showed significant agreement in all of the subjects. The construct validity was obtained through correlations statistically significant among the domains occupational, health and emotional of UQOL with the SF-36 domains. For the exploratory factorial analysis, it was verified that three factors explain 60% of the total variance of the data, the present study allowed concluding that UQOL was appropriately translated and adapted for applicability in Brazil, presenting high reliability and validity. In that way, the executed project provided the involvement of different areas as gynecology, psychology and physiotherapy (interdisciplinary). Thus, this instrument can be included and used in Brazilian studies to assessment the quality of life during the climacteric years
Resumo:
Artificial Intelligence techniques are applied to improve performance of a simulated oil distillation system. The chosen system was a debutanizer column. At this process, the feed, which comes to the column, is segmented by heating. The lightest components become steams, by forming the LPG (Liquefied Petroleum Gas). The others components, C5+, continue liquid. In the composition of the LPG, ideally, we have only propane and butanes, but, in practice, there are contaminants, for example, pentanes. The objective of this work is to control pentane amount in LPG, by means of intelligent set points (SP s) determination for PID controllers that are present in original instrumentation (regulatory control) of the column. A fuzzy system will be responsible for adjusting the SP's, driven by the comparison between the molar fraction of the pentane present in the output of the plant (LPG) and the desired amount. However, the molar fraction of pentane is difficult to measure on-line, due to constraints such as: long intervals of measurement, high reliability and low cost. Therefore, an inference system was used, based on a multilayer neural network, to infer the pentane molar fraction through secondary variables of the column. Finally, the results shown that the proposed control system were able to control the value of pentane molar fraction under different operational situations
Resumo:
The planar circuits are structures that increasingly attracting the attention of researchers, due the good performance and capacity to integrate with other devices, in the prototyping of systems for transmitting and receiving signals in the microwave range. In this context, the study and development of new techniques for analysis of these devices have significantly contributed in the design of structures with excellent performance and high reliability. In this work, the full-wave method based on the concept of electromagnetic waves and the principle of reflection and transmission of waves at an interface, Wave Concept Iterative Procedure (WCIP), or iterative method of waves is described as a tool with high precision study microwave planar circuits. The proposed method is applied to the characterization of planar filters, microstrip antennas and frequency selective surfaces. Prototype devices were built and the experimental results confirmed the proposed mathematical model. The results were also compared with simulated results by Ansoft HFSS, observing a good agreement between them.
Resumo:
Smart Grids are a new trend of electric power distribution, the future of current systems. These networks are continually being introduced in order to improve the reliability of systems, providing alternatives to energy supply and cost savings. Faced with increasing electric power grids complexity, the energy demand and the introduction of alternative sources to energy generation, all components of system require a fully integration in order to achieve high reliability and availability levels (dependability). The systematization of a Smart Grid from the Fault Tree formalism enable the quantitative evaluation of dependability of a specific scenario. In this work, a methodology for dependability evaluation of Smart Grids is proposed. A study of case is described in order to validate the proposal. With the use of this methodology, it is possible to estimate during the early design phase the reliability, availability of Smart Grid beyond to identify the critical points from the failure and repair distributions of components.