5 resultados para Very high frequency

em AMS Tesi di Laurea - Alm@DL - Università di Bologna


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Le apparecchiature di manovra tramite isolamento a gas (GIS) sono in funzione da più di 45 anni e hanno dimostrato un alto livello di affidabilità, con tassi di difetto molto bassi. Tuttavia, il riscontro pratico indica che alcuni dei guasti che si verificano durante il servizio sono legati a difetti del sistema di isolamento. Molti di questi difetti possono essere rilevati tramite diagnostica con scariche parziali (PD). Per la rilevazione PD, viene utilizzato il metodo UHF perché meno sensibile ai disturbi e quindi più facile da gestire in confronto al metodo convenzionale secondo IEC 60270. Un rapporto di Electra pubblicato nel 1999 dal CIGRE Task Force 15/33.03.05 descrive la procedura in due fasi per la verifica della sensibilità del sistema UHF in modo molto generale. Dopo 15 anni dalla sua applicazione, è diventata necessaria una descrizione più dettagliata, sia su misure necessarie al test di laboratorio (Passaggio 1) che sul test in loco (Passaggio 2).

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in questo lavoro di tesi verrà fornita dapprima una descrizione degli oggetti che andremo a studiare, e cioè i nuclei galattici attivi (AGN), con un richiamo alle strutture più importanti di cui si costituiscono i loro sottogruppi: Quasar e radiosorgenti. Saranno forniti i segni distintivi con cui poter riconoscere queste forme di sorgenti radio e verrà fornito un modello che consenta di concepire il ciclo vitale radiativo a cui sono destinati tali classi di radiogalassie. Si vedrà che il tipo di radiazione emessa è prevalentemente non termico, anch’essa vista come una loro caratteristica peculiare. Si darà quindi una descrizione di questo meccanismo di radiazione ,che corrisponde all’emissione di sincrotrone, e si analizzeranno, facendo riferimento a questa base teorica, dati provenienti da una particolare tipologia di radiosorgenti: le “High Frequency Peakers” (HFP) che, come si evince dal nome stesso, rappresentano delle sorgenti con uno spettro di radiazione con picco riscontrabile alle alte frequenze. Si studieranno i dati raccolti dal catalogo TGSS a 150MHz con la speranza di avere riscontri tali da poter confermare o rigettare il modello evolutivo che prendiamo in considerazione per descrivere il ciclo vitale di questa classe di oggetti astronomici e di cui daremo spiegazione nelle prossime pagine.

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The emissions estimation, both during homologation and standard driving, is one of the new challenges that automotive industries have to face. The new European and American regulation will allow a lower and lower quantity of Carbon Monoxide emission and will require that all the vehicles have to be able to monitor their own pollutants production. Since numerical models are too computationally expensive and approximated, new solutions based on Machine Learning are replacing standard techniques. In this project we considered a real V12 Internal Combustion Engine to propose a novel approach pushing Random Forests to generate meaningful prediction also in extreme cases (extrapolation, very high frequency peaks, noisy instrumentation etc.). The present work proposes also a data preprocessing pipeline for strongly unbalanced datasets and a reinterpretation of the regression problem as a classification problem in a logarithmic quantized domain. Results have been evaluated for two different models representing a pure interpolation scenario (more standard) and an extrapolation scenario, to test the out of bounds robustness of the model. The employed metrics take into account different aspects which can affect the homologation procedure, so the final analysis will focus on combining all the specific performances together to obtain the overall conclusions.

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Passive acoustic data have been collected using HARPs (High-frequency Acoustic Recording Packages) and were used to assess (1) the seasonality of blue whale D calls in the Southern California Bight, (2) their interannual abundance during 2007-2012 and (3) their diel variation. This goal has been achieved running the GPL (Generalized Power-Law) automated detector. (1) Blue whale D calls were detected in the Southern California Bight from May through November with a peak in July, even though few detections were from December to April as well. A key predictor for blue whale distribution and movement in the California Current region has been identified with zooplankton aggregations, paying a particular attention to those euphausiid species, such as E. pacifica and T. spinifera, which are blue whale favorite krill. The Southern California Bight experiences seasonal upwelling, resulting in an increase of productivity and prey availability. The summer and early fall have been marked as the most favorable periods. This supports the presence of blue whales in the area at that time, supposing these marine mammals exploit the region as a feeding ground. (2) As to the interannual abundance during 2007-2012, I found a large variability. I observed a great increase of vocalizations in 2007 and 2010, whereas a decrease was shown in the other years, which is well marked in 2009. It is my belief that these fluctuations in abundance of D calls detections through the deployed period are due to the alternation of El Nino and La Nina events, which occurred in those years. (3) The assessment of the daily timing of D calls production shows that D calls are more abundant during the day than during the night with a peak at 12:00 and 13:00. Assuming that D calling is associated with feeding, the daily pattern of D calls may be linked to the prey availability. E. pacifica and T. spinifera are among those species of krill which undertake daily vertical migrations, remaining at depth during the day and slowly coming up towards the surface at night. Because of some anatomical arrangements, these euphausiids are very sensitive to the light. Given that we believe D calls have a social function, I hypothesize that blue whales may recognize the hours at the highest solar incidence as the best moment of the day in terms of prey availability, exploiting this time window to advert their conspecifics.

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This work presents the experimental development of a novel heat treatment for a high performance Laser Powder Bed Fusion Ti6Al4V alloy. Additive manufacturing production processes for titanium alloys are particularly of interest in cutting-edge engineering fields, however, high frequency laser induced thermal cycles generate a brittle as built microstructure. For this reason, heat treatments compliant with near net shape components are needed before their homologation and usage. The experimental campaign focused on the development of a multi-step heat treatment leading to a bilamellar microstructure. In fact, according to literature, such a microstructure should be promising in terms of mechanical properties both under static and cyclic loads. The heat treatment development has asked for the preliminary analyses of samples annealed and aged in laboratory, implementing several cycles, differing for what concerns temperatures, times and cooling rates. Such a characterization has been carried out through optical and electron microscopy analyses, image analyses, hardness and tensile tests. As a result, the most suitable thermal cycle has been selected and performed using industrial equipment on mini bending fatigue samples with different surface conditions. The same tests have been performed on a batch of traditionally treated samples, to provide with a comparison. This master thesis activity has finally led to the definition of a heat treatment resulting into a bilamellar microstructure, promising in terms of fatigue performances with respect to the traditionally treated alloy ones. The industrial implementation of such a heat treatment will require further improvements, particularly for what concerns the post annealing water quench, in order to prevent any surface alteration potentially responsible for the fatigue performances drop. Further development of the research may also include push-pull fatigue tests, crack grow propagation and residual stresses analyses.