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Articles 5491 - 5520 of 41197
Full-Text Articles in Entire DC Network
Patterned Magnetic And Plasmonic Nanostructures In Microfluidics For Extracellular Vesicle Screening And Drug Loading, John H. Molinski
Patterned Magnetic And Plasmonic Nanostructures In Microfluidics For Extracellular Vesicle Screening And Drug Loading, John H. Molinski
Dartmouth College Ph.D Dissertations
Extracellular vesicles (EVs), once dismissed as shuttles for cellular waste, have emerged as vital nanoscale biomolecules, facilitating intercellular communication through transfer of host-cell specific molecular cargo. Tumor-derived EVs, released by cancer cells, hold potential as diagnostic biomolecules due to their links to cancer cells, abundance within biofluids, and potential for direct extraction and detection. More broadly, EVs from a wide array of cellular origins have been explored as therapeutic carriers, stemming from their innate function as cargo carriers, high biocompatibility, and their ability to evade immune detection. However, harnessing EVs for diagnostic or therapeutic applications necessitates efficient isolation, purification, and …
Enhancing Cybersecurity In Wireless Sensor Networks: Machine Learning, Blockchain And Future Perspectives, Ilemona Solomon Atawodi
Enhancing Cybersecurity In Wireless Sensor Networks: Machine Learning, Blockchain And Future Perspectives, Ilemona Solomon Atawodi
Dissertations
Security in the Industrial Internet of Things encounters various security issues but the main issues can be broken down into three core issues: Availability, Integrity, and Confidentiality. Security challenges generally tend to be caused by a failure of the system in one of these areas or cause a failure in one of these areas. Therefore researching scalable solutions to these security issues is prudent to explore methods that could be applied to large-scale industrial IIoT with tens to hundreds of devices as well as small-scale systems on a tiny factory floor comprising of just a few devices. In our research, …
Machine Learning And Geostatistical Approaches For Discovery Of Weather And Climate Events Related To El Niño Phenomena, Sachi Perera
Machine Learning And Geostatistical Approaches For Discovery Of Weather And Climate Events Related To El Niño Phenomena, Sachi Perera
Computational and Data Sciences (PhD) Dissertations
El Nino and La Nina are worldwide environmental phenomena brought about by repetitive changes in the water temperature of the Pacific Ocean. Even though the El-Nino impact focuses on a smaller area in the Pacific Ocean near the Equator, these developments have global repercussions, where temperature and precipitation are influenced across the globe, causing droughts and floods simultaneously. In this dissertation, we first derived a drought vulnerability index for the Nile basin, identifying regions with high and low drought risk under ENSO conditions. Next, we evaluated the coherence and periodicity of the ENSO signal to detect its implications on MENA …
Non-Contact Wind Turbine Blade Crack Detection Using Laser Doppler Vibrometers, Ali Zabihi, Farhood Aghdasi, Chadi Ellouzi, Nand Kishore Singh, Ratneshwar Jha, Chen Shen
Non-Contact Wind Turbine Blade Crack Detection Using Laser Doppler Vibrometers, Ali Zabihi, Farhood Aghdasi, Chadi Ellouzi, Nand Kishore Singh, Ratneshwar Jha, Chen Shen
Henry M. Rowan College of Engineering Departmental Research
In response to the growing global demand for both energy and a clean environment, there has been an unprecedented rise in the utilization of renewable energy. Wind energy plays a crucial role in striving for carbon neutrality due to its eco-friendly characteristics. Despite its significance, wind energy infrastructure is susceptible to damage from various factors including wind or sea waves, rapidly changing environmental conditions, delamination, crack formation, and structural deterioration over time. This research focuses on investigating non-destructive testing (NDT) of wind turbine blades (WTBs) using approaches based on the vibration of the structures. To this end, WTBs are first …
Investigating Causes Of Disputes Resulting In Litigation In Airport Development Projects In The United States Using Graph-Based Techniques, Ramy Khalef, Islam H. El-Adaway
Investigating Causes Of Disputes Resulting In Litigation In Airport Development Projects In The United States Using Graph-Based Techniques, Ramy Khalef, Islam H. El-Adaway
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Airports represent a crucial a sector of the US infrastructure, but they were documented to have scored a D+. To mitigate this, governmental authorities have issued initiatives to update the airport infrastructure. With an expected critical junction for a major transformation in the airport sector, it is anticipated that airport projects will increase. This shall result in an escalation in the number of disputes. Previous research analyzed dispute concerns within the construction sector, but none tackled the perspective of airport projects. Accordingly, the goal of this study is to investigate the leading causes of disputes in litigation within US airport …
Dna/Carbon Nanotube Hybrid Structure And Their Translocation Through A Nanochannel, Daniel Christoffel Viljoen
Dna/Carbon Nanotube Hybrid Structure And Their Translocation Through A Nanochannel, Daniel Christoffel Viljoen
Graduate Theses and Dissertations
DNA sequencing is of major importance as it is used in fields such as species differentiation, personalized medicine and food safety. Currently sequencing by synthesis is the most popular commercial method of sequencing DNA while Oxford nanopore’s protein based nanopores are the only portable commercial method. Current nanopore based devices have three main issues: Spacial resolution, translocation rate versus sensor strength and dealing with the persistence length of ssDNA. This thesis contributes to ongoing research that aims to create a nanochannel with integrated sensor based sequencing device. The project has two main objectives. The first objective is to improve the …
Design Of Small-Scale Milk Processing Facility, Luke Bond, Robert Stenzel, Ry Steffen, John Van Nieuwenhuyse, Rossana Villa-Rojas, Terry Howell Jr., Tami M. Brown-Brandl, Forrest Kievit
Design Of Small-Scale Milk Processing Facility, Luke Bond, Robert Stenzel, Ry Steffen, John Van Nieuwenhuyse, Rossana Villa-Rojas, Terry Howell Jr., Tami M. Brown-Brandl, Forrest Kievit
Department of Agricultural and Biological Systems Engineering: Masters Project Reports
This project was intended to investigate the feasibility of a proposed modular dairy processing facility collocated with a small dairy on the University of Nebraska–Lincoln’s Innovation Campus. Priority was placed upon cost savings for equipment to be used in processing. Process flow diagrams, floor plans, production schedules, risk assessments, and plans for wastewater treatment were all developed to address the needs of the plant should it be built. A Monte Carlo simulation was conducted to evaluate the timeline for breaking even financially, resulting in the potential for a payback period of 4.5 years. The 4.5-year payback period was based on …
Investigating The Presence Of Patented In Vitro Models For Cancer-Nerve Crosstalk Methods, Christoff Hauptmann
Investigating The Presence Of Patented In Vitro Models For Cancer-Nerve Crosstalk Methods, Christoff Hauptmann
Biomedical Engineering Undergraduate Honors Theses
The purpose of this research project is to investigate the presence of patented in vitro models for perineural invasion (PNI) and tumor innervation, the two most prominent modes of cancer-nerve crosstalk that play an active role in cancer initiation and progression. PNI occurs through a positive feedback loop in which cancer cells invade passive nerves to metastasize. Tumor innervation is the process where tumor cells attract nearby nerves to the tumor microenvironment (TME) for tumor growth and metastasis. These crosstalk paths have been established for many types of cancer and result in poor patient prognosis. Recently, in vitro models have …
Evaluation Of The Efficiency Of Muscle-Specific Promoters To Express Non-Endogenous Proteins In Skeletal Muscle, Gabrielle Bulliard, Made Harumi Padmaswari, Christopher E. Nelson
Evaluation Of The Efficiency Of Muscle-Specific Promoters To Express Non-Endogenous Proteins In Skeletal Muscle, Gabrielle Bulliard, Made Harumi Padmaswari, Christopher E. Nelson
Biomedical Engineering Undergraduate Honors Theses
Gene therapies are emerging as powerful tools for treating genetic diseases and cancers, offering the potential for a permanent cure. Hemophilia B, affecting approximately 6,000 men in the U.S., results from a deficiency in coagulation factor IX protein (FIX), which is crucial for blood clotting. A substantial portion of patients, over 40%, suffer from severe hemophilia B, experiencing spontaneous, prolonged bleeding. Current prophylactic treatments involve frequent coagulation factor infusions, yet a curative approach would alleviate this burden. Gene editing technologies like CRISPR-Cas systems show promise for correcting genetic mutations, but the diverse nature of factor IX gene (F9) …
Safety Analysis In Ap-1000 Nuclear Power Plant Against Primary Loop Coolant Pump And Fuel Failures, Fabiano Gibson Daud Thulu, Hailemichael Guadie Mengsitu, Chifundo Tenthani, Paul Stone Macheso
Safety Analysis In Ap-1000 Nuclear Power Plant Against Primary Loop Coolant Pump And Fuel Failures, Fabiano Gibson Daud Thulu, Hailemichael Guadie Mengsitu, Chifundo Tenthani, Paul Stone Macheso
International Journal of Nuclear Security
This study focused on the best-estimated thermal-hydraulic calculations performed regarding the AP-1000 nuclear power plant (NPP) under primary coolant loop pump and fuel failures. Primary coolant pump and fuel failure transients are important design-basis accidents in NPP safety assessments. This work examined the primary reactor’s safety margins of fuel and cladding peak temperature, primary and secondary loop pressure, hydrogen formation, and primary and secondary flow rates.The Adaptive System Thermal-Hydraulics program was used in the simulation and event progression analysis. The results showed that the peak fuel surface temperature was kept below the licensing design limit. No observation of corium was …
Navigate The World Of Rfid: Diversity, Capabilities, And Constraints Of Readers And Tags, Rachana Pandey
Navigate The World Of Rfid: Diversity, Capabilities, And Constraints Of Readers And Tags, Rachana Pandey
2024 Spring Honors Capstone Projects - Archive
Radio-Frequency Identification (RFID) technology, a method for storing and retrieving data through electromagnetic transmission to an RFID tag, is revolutionizing inventory and asset management in various sectors, including healthcare. This research explores the applications of RFID in a medical setting. It assesses various RFID readers and tags, focusing on their functional capabilities, ranges, and limitations within a medical environment. Employing a comprehensive approach, the study integrates an extensive literature review, comparative analysis, and empirical data from both experimental simulations and real-world healthcare scenarios. The aim is to identify RFID solutions that optimize surgical equipment management, thereby enhancing both operational efficiency …
Establishing Employee Sense Of Belonging In A Busy Work Environment, Zoe A. Rodriguez
Establishing Employee Sense Of Belonging In A Busy Work Environment, Zoe A. Rodriguez
2024 Spring Honors Capstone Projects - Archive
This honors thesis capstone project explores the concept of an employee’s sense of belonging within a busy work environment. A department within ABC Company faces operational challenges regarding their daily tasks. The Honors contribution addresses the comparison between the busy work environment at ABC Company and existing literature to provide scholarly-supported recommendations and mitigation strategies for ABC Company. Existing literature underscores the importance of understanding contributing influences on an employee’s sense of belonging within the workplace. The honors contribution adds value by closing the information gap within companies that operate under a busy work environment and strategies of how to …
Review: Implementation Of Video Documentation In Lessons Learned System In Construction, Jainil Patel
Review: Implementation Of Video Documentation In Lessons Learned System In Construction, Jainil Patel
2024 Spring Honors Capstone Projects - Archive
Organizations employ Lessons Learned Systems (LLS) to manage knowledge and capture valuable project experiences to improve future performance. However, the construction industry has yet to adopt such systems widely, presumably due to its sluggish tech integration and risk-prone characteristics. Of the numerous fragmented obstacles that impede LLS adoption, one noteworthy obstacle would be the challenge faced during the text documentation of experiences. Traditional text inputs are labor-intensive and time- consuming. Hence, video documentation can be a more efficient replacement with its quick and modern recording features. The technological advancement and the preference shift of younger generations from text to video …
Investigating Rural Traffic Dynamics: A Traffic Study On E 2nd Street Intersection’S Behavior And Safety, Ma Anjelika Rose T. Pineda
Investigating Rural Traffic Dynamics: A Traffic Study On E 2nd Street Intersection’S Behavior And Safety, Ma Anjelika Rose T. Pineda
2024 Spring Honors Capstone Projects - Archive
Traffic studies guide engineers in designing road networks to ensure smooth traffic flow and public safety. Such studies assess the need for traffic control devices to manage vehicle flow safely and efficiently. This is crucial at intersections which pose high risks of collision and congestion. A traffic analysis at the intersection of Island Grove and E 2nd Street on the FM-4 roadway in Cleburne, TX was conducted to evaluate the sufficiency of the current traffic control device. TxDOT warrants and standards and a field study were utilized and performed to justify the substitution for a traffic signal at the intersection. …
An Assessment Of Methane Cracking Technologies For Hydrogen Production And Reduction Of Greenhouse Gases, Alisa E. Pjetrovic
An Assessment Of Methane Cracking Technologies For Hydrogen Production And Reduction Of Greenhouse Gases, Alisa E. Pjetrovic
2024 Spring Honors Capstone Projects - Archive
Methane reformation and methane pyrolysis involve separating, or cracking, the components of methane, leading to the production of hydrogen gas, and in the case of pyrolysis, solid carbon. Because methane is known as a leading cause of climate change, these technologies are gaining attention as the global community moves to address methane as a greenhouse gas. This study aims to assess, through a systematic literature review, the current state-of-the-art methane cracking technologies based on seven technology criteria: hydrogen production capability, environmental impact, value of carbon produced, reaction stability, operating temperature requirements, energy requirements, and Technology Readiness Level (TRL). This study …
Electrokinetic Particle Trapping Performance Of Conductive Nanofiber Mats In Microfluidic Wells., Jacob Hunter West
Electrokinetic Particle Trapping Performance Of Conductive Nanofiber Mats In Microfluidic Wells., Jacob Hunter West
Electronic Theses and Dissertations
The frequency dependence of electrokinetic particle trapping using large-area (>mm2) conductive carbon nanofiber (CNF) mat electrodes is investigated. The fibers provide nanoscale geometric features for the generation of high electric field gradients, which is necessary for particle trapping via dielectrophoresis (DEP). A device was fabricated with an array of microfluidic wells for repeated experiments; each well included a CNF mat electrode opposing an aluminum electrode. Fluorescent microspheres (1 µm) were trapped at various electric field frequencies between 30 kHz – 1 MHz. Digital images of each well were analyzed to quantify particle trapping. DEP trapping by the …
Emergency Vehicle Prioritization In Connected And Autonomous Traffic., Mohamadreza Haghani
Emergency Vehicle Prioritization In Connected And Autonomous Traffic., Mohamadreza Haghani
Electronic Theses and Dissertations
Reducing the response time of emergency vehicles (EV) is highly important due to the relationship between response time and fatality rate. Emerging technologies can help reduce response time by enhancing EV prioritization. On the other hand, EV prioritization can negatively impact general traffic especially in cross streets of signalized intersections. In this research, three main objectives were followed. Firstly, creation and dissipation of EVP disruption on arterial cross streets was studied to recommend solutions to prevent this disruption. Secondly, lane-changing and stopping behavior of CAVs were studied in EV prioritization to identify the best lane-changing behavior through minimizing delay. Thirdly, …
A Design Science And Implementation Framework For Studying Interruptions And Its Application In A Dental Clinic., Carsten Ziegler
A Design Science And Implementation Framework For Studying Interruptions And Its Application In A Dental Clinic., Carsten Ziegler
Electronic Theses and Dissertations
Interruptions during dental treatment are frequent, and often have detrimental effects on quality of care, patient safety and processing times, and have an impact on provider satisfaction and performance. Interruptions can significantly increase the cognitive load on dental providers, making it hard for them to concentrate on complex procedures. Frequent interruptions also disrupt the workflow in general, leading to delays in treatment, which can reduce the overall throughput of a clinic. Unfortunately, there is no comprehensive approach to collectively (i) analyze interruptions in dental healthcare, (ii) design an intervention, and (iii) implement and sustain it. This research proposes a comprehensive …
Rockin’ Rehab: Novel Rocking Chair For Children With Spinal Cord Injury To Enable Trunk Muscle Activation And Detect Muscle Activation Patterns., Johnathan Jay George
Rockin’ Rehab: Novel Rocking Chair For Children With Spinal Cord Injury To Enable Trunk Muscle Activation And Detect Muscle Activation Patterns., Johnathan Jay George
Electronic Theses and Dissertations
Introduction: Activity-based locomotor training improves trunk control in children with spinal cord injury (SCI), and there is need for additional activities to allow these children to activate trunk muscles. The purpose of this research was to design, fabricate, and evaluate a rocking chair for children with SCI, and to investigate the activation of muscles during use. Sensorization of the chair to confirm muscle activation is also explored. Methods: Quality Function Deployment (QFD) design methodologies identified and ranked needs and features for the rocking chair. A design was developed and evaluated via finite element analysis. The chair was fabricated and tested …
Modeling Of Multi-Period Disaster Logistics Planning In The State Of South Carolina, Emma Simon
Modeling Of Multi-Period Disaster Logistics Planning In The State Of South Carolina, Emma Simon
All Theses
South Carolina is one of the most vulnerable states in the United States to the impact of hurricanes. Currently, when threatened with a natural disaster such as a hurricane, the state government makes many vital decisions based on knowledge and experience. In this study, the distribution of disaster relief commodities to meet immediate needs is analyzed through two models for the case of South Carolina to generate an optimal logistics strategy that considers the social vulnerability of affected populations. The first model is a multi-objective pre-disaster logistics model that uses a four-index formulation for the multiple trip vehicle routing problem. …
Real-Time Measurements From Wearable Sensors To Enhance Stability On Uneven Terrain, Sophie Copelin
Real-Time Measurements From Wearable Sensors To Enhance Stability On Uneven Terrain, Sophie Copelin
Biomedical Engineering Undergraduate Honors Theses
The presented thesis is a study of sensation associated with inversion/eversion movement about the anterior/posterior axis. The long-term goal is to create a system that provides feedback to a prosthesis user, so their chances of falling is decreased. This feedback system would use wearable sensors to detect certain angles, so that sensory feedback could be provided. The study aimed to determine if Xsens Movella DOT sensors could be used in a system like this, so the accuracy of the Xsens Movella DOT sensors was assessed and the difference in angles that could be determined by them when compared to that …
Female Students’ Sense Of Belonging Influence On Engineering Technology Degree Retention: A Phenomenological Study, Edith Wittenmyer
Female Students’ Sense Of Belonging Influence On Engineering Technology Degree Retention: A Phenomenological Study, Edith Wittenmyer
All-Inclusive List of Electronic Theses and Dissertations
The purpose of this qualitative study is to identify and understand the phenomenon of sense of belonging regarding female students’ lived experiences that may impact retention rates for female students in engineering technology majors at this particular major midwestern university. Delving deeper into the lived experiences of engineering technology female students is the focus of this research. The study’s outcome may support academic policy changes which will increase retention and graduation of female students in pursuit of engineering technology degrees.
A Comprehensive Analysis Of Training Induced Heat-Related Injuries At Fort Moore, Anthony Beger
A Comprehensive Analysis Of Training Induced Heat-Related Injuries At Fort Moore, Anthony Beger
Data Science Undergraduate Honors Theses
Heat related injuries are a significant problem for the United States Armed Forces. There were over 11,000 confirmed cases of heat-related illnesses that were diagnosed at more than 230 military installations from 2018-2022. These injuries are primarily due to hyperthermia (i.e., abnormally high body temperature) resulting from extreme environmental temperatures, high humidity, medications, or excessive physical work or exercise. Fort Moore has the most heat related injuries of any installation in the U.S. Department of Defense since it is home to one of the largest U. S. Army training posts with most training involving intensive outdoor activity in high heat …
Detection Of Hypoxia Via Rgb Imaging, Nathania Nischal
Detection Of Hypoxia Via Rgb Imaging, Nathania Nischal
Biomedical Engineering Undergraduate Honors Theses
Colorectal cancer is a common form of cancer, and is heavily researched in murine models. Colonoscopies are often performed in clinical settings to assess the health of the colon, as well as locate and assess the severity of tumors in a non-invasive way. As the quality of the images is dependent on the colonic environment and the light available, it is important to ensure the accuracy of the images via a normalization algorithm. The RGB images procured from these colonoscopies have great potential as a diagnostic tool for physicians, as varying scales of discoloration is common in hypoxic tissue. While …
Dorsal Root Ganglia Neurite Outgrowth Following Traumatic Spinal Cord Injury Repair: A Review, Adrienne Vaughan
Dorsal Root Ganglia Neurite Outgrowth Following Traumatic Spinal Cord Injury Repair: A Review, Adrienne Vaughan
Biomedical Engineering Undergraduate Honors Theses
Traumatic spinal cord injury (tSCI) can cause partial sensorimotor deficiency or total dysfunction, rendering patients unable to perform necessary tasks and dramatically decreasing their quality of life. tSCI is a very prevalent issue. In the United States alone, there are approximately 54 new cases of SCI per one million people each year, or 18,000 new cases annually. tSCI creates a lesion gap filled with axon-inhibiting fibrotic scar tissue. Comprehensive functional recovery following traumatic spinal cord injury (tSCI) requires axonal regeneration across wound site lesions. Dorsal root ganglia (DRG) neurite outgrowth is often evaluated in PNI therapeutic research since it can …
Implementation Of Explainable Ai For Bearing Fault Classification, Mohammad Mundiwala
Implementation Of Explainable Ai For Bearing Fault Classification, Mohammad Mundiwala
Honors Scholar Theses
It is difficult to overstate the impact of artificial intelligence (AI) over the past decade. The rapid expansion of machine learning has stimulated a race to deploy AI in all facets of life, one such domain being machine health monitoring. There is no doubt that machine learning excels in prediction accuracy, but oftentimes, these models are cryptic and fail to provide valuable insight into their decisions. This paper presents an overview of a neural network and what it means to learn. Next, two distinct Explainable AI (XAI) techniques will be presented: Gradient Class Activation Mapping and SimplEx . Finally, these …
Addressing Multimodal Transportation Needs Through Complete Streets Implementation, Eirini Stavropoulou, Nikiforos Stamatiadis, William Staats, Teng Wang, Reginald Souleyrette
Addressing Multimodal Transportation Needs Through Complete Streets Implementation, Eirini Stavropoulou, Nikiforos Stamatiadis, William Staats, Teng Wang, Reginald Souleyrette
Kentucky Transportation Center Research Report
Since the early 2000s, over 1,600 transportation agencies in the United States have adopted Complete Streets policies. Recently, the Kentucky Transportation Cabinet (KYTC) published its Complete Streets, Roads, and Highways Manual, which aims to implement a safe and equitable transportation system throughout the state, as well as a Complete Streets policy. The manual and policy offer guidance on integrating Complete Streets principles into road design, however, KYTC currently lacks tools or methods to evaluate how well specific projects address Complete Streets goals. This is problematic because systematic assessments are needed to effectively prioritize projects and allocate scarce funding. Based …
Estimation Of Benefits From Pedestrian And Bicycle Improvements, Dionysios Tzamakos, Nikiforos Stamatiadis, William Staats, Teng Wang, Reginald Souleyrette
Estimation Of Benefits From Pedestrian And Bicycle Improvements, Dionysios Tzamakos, Nikiforos Stamatiadis, William Staats, Teng Wang, Reginald Souleyrette
Kentucky Transportation Center Research Report
Delivering safe mobility for all users of the transportation system is a key priority of the Kentucky Transportation Cabinet (KYTC). Because many system users rely on pedestrian and bicycle facilities, it is critical for KYTC to balance pedestrian and bicycle facility accommodations with those for motorized users. Currently, the Strategic Highway Investment Formula for Tomorrow (SHIFT) — the Cabinet’s systematic approach to scoring and prioritizing proposed roadway projects — awards up to five points (out of a possible total of 100) for pedestrian and bicycle projects. But the agency lacks a robust method for estimating the benefits of pedestrian and …
Computational Predictions Of Heart Failure Drug Effects On Cardiac Fibrosis, Aaron Gardner
Computational Predictions Of Heart Failure Drug Effects On Cardiac Fibrosis, Aaron Gardner
Chemical Engineering Undergraduate Honors Theses
The extracellular matrix is a complex system surrounding cells that is crucial to all of the cardiovascular system’s functions. Fibrosis is an excessive accumulation (scarring) of the extracellular matrix. Fibrosis is typically a negative event, and the scarring must be reduced in the heart in order to maintain its functionality. Due to this, simulations are run using the software “Netflux” in order to determine the effects of different heart failure drugs on cardiac fibrosis. The drugs that were simulated were an ACE Inhibitor, BAR Beta Blocker, ARB Blocker, and Entresto. These drugs were simulated over 50 hours at three different …
Neural Network Based Digital Twin For A Half-Bridge Llc Resonant Converter, Nicholas Green
Neural Network Based Digital Twin For A Half-Bridge Llc Resonant Converter, Nicholas Green
Legacy Theses & Dissertations (2009 - 2024)
This paper introduces a Neural Network based approach for creating a Digital Twin of a Half-Bridge LLC Resonant Converter. By using a set of measured inputs, the Digital Twin system can characterize the component values, and hard to measure switch characteristics such as the Junction Temperature or Gate-Source Capacitance. This capability is useful for reliability or health applications, and may also be useful for adaptive control. A case study is done for the LLC Resonant converter designed around an operating point. Data sweeps around that operating point are simulated to form a dataset. An introduction to Neural Networks is given …