Дисертації з теми "Leader discharge"
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Arevalo, Liliana. "Numerical Simulations of Long Spark and Lightning Attachment." Doctoral thesis, Uppsala universitet, Elektricitetslära, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-149171.
Повний текст джерелаLiu, Lipeng. "Physics of Electrical Discharge Transitions in Air." Doctoral thesis, KTH, Elektroteknisk teori och konstruktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-205401.
Повний текст джерелаElektriska urladdningar av olika former (streamers (från engelska), glöd-korona, ledare, etc.) förekommer i stor utsträckning i naturen och i industriella applikationer. Under vissa förhållanden kan en elektrisk urladdning omvandlas till en annan form av elektrisk urladdning. Denna avhandling syftar till att utveckla och använda numeriska simuleringsmodeller för att ge en bättre fysikalisk förståelse av två sådana övergångar, nämligen glöd-till-streamer- och streamer-till-ledar-övergångar, i luft. I den första delen, avhandlas en tvådimensionell simulering av glöd-till-streamer-övergången med ett hastigt föränderligt elektriskt fält i bakgrunden. Simuleringen utförs med en flödesmodell som tar hänsyn till elektronerna. En effektiv semi-Lagrangesk algoritm föreslås för att lösa de konvektionsdominerade kontinuitetsekvationerna i modellen. Vidare utvärderas och diskuteras förutsättningarna för glöd-till-streamer-övergången. För att möjliggöra sådana simuleringar i konfigurationer med stora elektrodavstånd och långa simuleringstider, föreslås också en effektiv och förenklad modell för glöd-korona-urladdningar samt deras övergång till streamers. Den andra delen av avhandlingen är tillägnad att undersöka dynamiken i streamer-till-ledar-övergångar över långa avstånd i luft, under atmosfäriskt tryck. Övergången studeras med en endimensionell termohydrodynamisk modell och en detaljerad kinetisk modell för blandningar av N2/O2/H2O. För att utvärdera effekten av luftfuktighet, innefattar den kinetiska modellen de viktigaste reaktionerna med H2O-molekylen och dess derivat. Analysen innefattar simuleringen av motsvarande streamer-kedjor, mörka perioder och avbrutna ledare som kan förekomma före starten av en stabil ledare. En jämförelse mellan den föreslagna modellen och den allmänt använda modellen av Gallimberti presenteras också.
QC 20170418
Hayakawa, Naoki, Yuichiro Yoshitake, Naoto Koshino, Toshiaki Ueda, and Hitoshi Okubo. "Impulse partial discharge characteristics and their mechanisms under non-uniform electric field in N/sub 2//SF/sub 6/ gas mixtures." IEEE, 2005. http://hdl.handle.net/2237/6847.
Повний текст джерелаDiaz, Oscar. "Numerical modelling of positive electrical discharges in long air gaps." Doctoral thesis, Uppsala universitet, Elektricitetslära, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-298355.
Повний текст джерелаKonate, Lamine Boubacar. "Modélisation de la tenue diélectrique dans les grands intervalles d'air : application aux intervalles complexes." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEC040.
Повний текст джерелаThis thesis is devoted to the study of the positive discharge in large air gaps. The initial goal is to develop a model able to determine the voltage U50 and the k-factor, two important factors involved in the design of high voltage structures in complex geometries. To do this, a review of the discharge models available in the literature was done. We chose the circuit model developed by Professor Beroual’s group and applied to the positive discharge and also to the negative discharge. This model is based on an equivalent circuit diagram, his parameters varying with time according to the leader channel characteristics and the geometry of the discharge. The spread of the leader is based on a criterion related to the calculation of the field at its head and where the randomness of the discharge path is taken into account. As most of models found in the literature, this model applies only to the point-plane type interval. Part of this work was to extend the domain of applicability of this model to complex geometries. A detailed study of the rod-rod gap allowed us to validate our model in its ability to simulate an example of complex geometry. Moreover, experimental tests allowed us to compare the value of the U50 voltage determined using our model and the one from experiments for to this rod-rod geometry. The results are in good agreement with a margin of error of less than 5%. Given the good agreement resulting from the confrontation model - laboratory experience and the great similarity, large spark - atmospheric discharge, a positive lightning model was developed. This model allowed us to use for the first time the circuit model to model the lightning attachment process. The results obtained allow to validate the feasibility to find, to the standard methods of protection against lightning, digital alternative based on a simulation of lightning. An estimate of the field radiated by the leader channel was performed. This opens a way for the study of the interaction of these fields radiated with engineering systems
Qi, Ling S. M. Massachusetts Institute of Technology. "Predicting department of medicine inpatients' discharges at US hospitals." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117962.
Повний текст джерелаThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 67).
In the last few years, US hospitals have faced severe challenges with bed capacity management that leads to capacity congestion. Delivering patients to the right bed at the right time is very important to patient care quality. However, the current process employs a self-reporting system to receive bed availability from each unit. This method does not provide consistent estimates nor does it provide a standardized, proactive bed capacity management perspective. In addition, the Department of Medicine (DOM) has a very complex patient population, both clinically and non-clinically. Various team structure and uneven distributed bed resources introduce additional challenge on patient discharges. The project aims to develop a predictive analytics tool that consistently and reliably identifies potential patient discharges in the next 24 hours. The prediction tool allows hospitals to incorporate a more proactive bed capacity management process. Every day, a ranked list with each patient's likelihood to be discharged will be the output. This list guides a more focused conversation within the care team to make patient discharge decisions. In addition, the prediction tool provides a comprehensive summary of barriers to discharge. In this work, we extended the model developed by Zanger [9] for predicting surgical patients' discharges to medicine inpatients' discharge prediction. By partitioning the training and validation set by the date on 12/31/2017, the current performance for the full model on January 2018 medicine inpatients has a prediction power of - 0.74 (Area Under Curve of a Receiver Operating Characteristic curve - AUC ROC there onwards). We further evaluated the model performance for specific patient populations. With patients' Length-Of-Stay (LOS) up to 3 days, the model's performance in terms of AUC ROC can reach ~ 0.8; 0.78 for model with patients' LOS up to 5 days, 0.77 for model with patients' LOS up to 7 days, and 0.72 for model with patients' performance up to 12 days. In addition, the model can capture 57.8% discharges in the next 48 hours, and 33.1% discharges in the next 24 hours.
by Ling Qi.
M.B.A.
S.M.
Zanger, Jonathan. "Predicting surgical inpatients' discharges at Massachusetts General Hospital." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117956.
Повний текст джерелаThesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, in conjunction with the Leaders for Global Operations Program at MIT, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 121-124).
In the last few years, MGH has grappled with severe bed capacity management problems. As a result, delays occur in delivering the patient to the right bed at the right time, hindering patient care. One of the root causes for those delays is the mismatch between the timing of admissions and discharges. Particularly, while bed managers know about most admissions well in advance, there is a prevalent lack of central transparency regarding which patients might be ready to leave the hospital and what are the barriers that may delay their discharge. This project aims to improve MGHs bed management processes by introducing a predictive model (based on neural network) that identifies, in real time, surgical inpatients discharges that will occur in the next 24 hours. As part of this research, we present a new modeling methodology, formalizing concepts of 'Milestones to Post-Operative Recovery' and 'Barriers to Discharge', which systematically track patients progress towards discharge. For every admitted surgical patient, our solution outputs a score that is correlated with the likelihood for discharge within 24 hours, and derives a list of barriers to discharge ranked by their significance. In addition, the solution predicts with high accuracy (R-Square 0.86) the total number of daily surgical inpatient discharges, a key piece of information for bed managers. Given training population of 15,553 surgical inpatients admitted to MGH between May 2016 and August 2017, and test population (out-of-sample) of 1,151 surgical inpatients hospitalized during September 2017, the model achieved remarkable performance with ROC of 0.857. During non-holiday weekdays, among the top 10 ranked surgical inpatients identified by the algorithm to have the highest probability of being discharged, 90% were discharged within 24 hours and 97% were discharged within 48 hours, capturing 23% of the hospital's daily surgical discharges. Among the top 30 patients ranked by the algorithm, 69% were discharged within 24 hours and 89% were discharged within 48 hours, capturing 53% of the hospital's daily surgical discharges. The model was implemented as a web-based tool and is currently being piloted at MGH. Preliminary results show potential to promote proactive discharge processes to eliminate unnecessary delays. The implemented solution is using standard EMR data streams, and can be generalized across hospitals.
by Jonathan Zanger.
M.B.A.
S.M.
Lynde, Stuart R. "Techniques for evaluating power plant discharges using in-situ leaf breakdown and flow-through laboratory sediment bioassays /." This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06102009-063152/.
Повний текст джерелаBecerra, Marley. "On the Attachment of Lightning Flashes to Grounded Structures." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8871.
Повний текст джерелаLynde, Stuart R. "Techniques for Evaluating Power Plant Discharges Using In-Situ Breakdown and Flow Though Laboratory Sediment Bioassays." Thesis, Virginia Tech, 1994. http://hdl.handle.net/10919/36646.
Повний текст джерелаMaster of Science
Bloomfield, Aaron Paul. "A High Frequency Alternating Current Battery Heater for Military Vehicles." University of Toledo / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1302312903.
Повний текст джерелаWziatek, Ilona, and Sofia Ericsson. "Utmaningar i en utskrivningsprocess från slutenvården till boende - för att skapa en trygg och effektiv process." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Industriell organisation och produktion, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-31274.
Повний текст джерелаAbrle, Ladislav. "Zkoumání vlivu aditiv elektrolytu na vlastnosti olověných akumulátorů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220221.
Повний текст джерелаJanáč, Stanislav. "Vývoj ovládacího programového prostředí pro autonomní fotovoltaický systém." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217927.
Повний текст джерелаOvesný, Karel. "Vývoj fukčních bloků pro autonomní fotovoltaický systém." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-218858.
Повний текст джерелаDas, Sayantan. "Modeling of Lightning Attachment to Aircraft and a Novel Methodology to Quantify Strike Rate." Thesis, 2023. https://etd.iisc.ac.in/handle/2005/6130.
Повний текст джерела