Essays about: "iron loss model"
Showing result 1 - 5 of 12 essays containing the words iron loss model.
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1. Development of an Investigation Method to Analyse Effect of Laser Cutting on Iron Losses in an Electric Machine
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this fast pace world, climate change is one of the primary concerns worldwide. The world is racing towards reducing CO2 emissions by focusing on decreasing energy consumption. Electric motors capture about two-third of the industrial energy consumption, of which the most growing sector is electrical vehicles. READ MORE
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2. Detecting Slag Formation with Deep Learning Methods : An experimental study of different deep learning image segmentation models
University essay from Linköpings universitet/DatorseendeAbstract : Image segmentation through neural networks and deep learning have, in the recent decade, become a successful tool for automated decision-making. For Luossavaara-Kiirunavaara Aktiebolag (LKAB), this means identifying the amount of slag inside a furnace through computer vision. READ MORE
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3. FEM Simulation Study of Iron Losses for a Linear Generator
University essay from Uppsala universitet/Institutionen för elektroteknikAbstract : Over the past few years, electricity generation from renewable resources has increased. Power generation from the ocean waves is also one among them. The technology consists of many subsystems. Generators are considered the heart of the entire subsystem or technology. READ MORE
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4. Experimental study of the temperature profile in an iron ore pellet during reduction using hydrogen gas
University essay from KTH/MaterialvetenskapAbstract : We are facing an important challenge, to reduce the greenhouse gas emissions to make sure that we limit global warming to 2 °C, preferably 1.5 °C. Drastic changes and developing new methods may be our only chance to keep global warming under 1.5 °C. READ MORE
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5. Machine Learning-based Quality Prediction in the Froth Flotation Process of Mining : Master’s Degree Thesis in Microdata Analysis
University essay from Högskolan Dalarna/MikrodataanalysAbstract : In the iron ore mining fraternity, in order to achieve the desired quality in the froth flotation processing plant, stakeholders rely on conventional laboratory test technique which usually takes more than two hours to ascertain the two variables of interest. Such a substantial dead time makes it difficult to put the inherent stochastic nature of the plant system in steady-state. READ MORE
