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Controlling the Vienna rectifier using a simplified space vector pulse width modulation technique
(2019-11-01)
In this thesis, a simplified Space-Vector Pulse-Width-Modulation (SVPWM) technique for the Vienna rectifier is introduced to reduce the computational burden, the switching losses and the Total-Harmonic-Distortion (THD). ...
Damping acoustic pressure pulsations in pipelines using Helmholtz resonators
(2019-05-01)
In industrial piping systems, centrifugal and reciprocating turbomachinery generate acoustic pressure pulsations, which propagate into the pipeline and interact with piping components, potentially causing vibrations, ...
Optimal structure and efficient algorithm for max-min fair multi-group multicast beamforming
(2019-09-01)
In this thesis, we consider the max-min fair (MMF) multi-group multicast beamforming design to maximize the minimum signal-to-interference-plus-noise ratio (SINR) subject to transmit power limit. We obtain the optimal ...
Design of robust active trailer steering controllers for multi-trailer articulated heavy vehicles using software/hardware-in-the-loop real-time simulations
(2019-08-01)
Due to their remarkable economic and environmental benefits, Multi-Trailer Articulated Heavy Vehicles (MTAHVs) have been frequently adopted by the trucking industry. Despite the above advantages, MTAHVs exhibit two particular ...
Design and development of advanced machine learning algorithms for lithium-ion battery state-of-charge estimation
(2019-11-01)
Batteries have been becoming more and more popular because of their long life and lightweight. Accurate estimation of the SOC help in making plans in an application to conserve and further enhance battery life. State of ...
Customized topology optimization for additive manufacturing
(2019-08-01)
One of the biggest limitations of additive manufacturing (AM) is the resulting production times. Due to the layer-based method of material deposition, the time to produce a single part is substantial compared to techniques ...
Time-efficient offloading and execution of machine learning tasks between embedded systems and fog nodes
(2019-12-01)
As embedded systems become more prominent in society, it is important that the technologies that run on them must be used efficiently. One such technology is the Neural Network (NN). NN's, combined with the Internet of ...
Deep learning methods applied to anomaly detection in vehicle manufacturing and operations
(2019-09-01)
As one of the most common modes of transportation, vehicles are very closely related to our lives. As a result, safety is an important issue in both vehicle production process and vehicle operations. Recently, unmanned ...
Design and control of resilient interconnected microgrids for reliable mass transit systems
(2019-03-01)
Mass transit systems are relied on a daily basis to transport millions of passengers and bring billions of dollars' worth of economic goods to market. While some forms of mass transit rely on a fuel, electrified railway ...
Apprehension of Resistive Characteristics of Plasma Ionized Hybrid Nano Fibrous Silicon
(2018-12-04)
Literature review done for the study identified number of challenges with the conventional way of manufacturing nano patterned surfaces. Also, it indicated immense potential of nano structured surface as a sensing surface ...