Essays about: "Kullager"
Showing result 1 - 5 of 11 essays containing the word Kullager.
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1. Investigations of Tool Wear Mechanisms in the Turning of Conventional, Calcium Treated and Ultraclean Steels
University essay from KTH/MaterialvetenskapAbstract : Application of clean and ultraclean steels have shown to provide favourable mechanical properties for bearings and transmission components, specifically regarding fatigue performance, compared to conventional steel grades. Clean steels are characterized by containing a very low level of non-metallic inclusions. READ MORE
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2. Real-time Small Object Detection using Deep Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Object detection is a research area within computer vision that consists of both localising and classifying objects in images. The applications of this kind of research in society are many, ranging from facial recognition to self driving cars. READ MORE
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3. Construction of a Selective Compliance Articulated Robot Arm : And evaluation of its accuracy
University essay from KTH/MekatronikAbstract : The concept of a robotic manipulator is widely used throughout many industries. In this project, a manipulator of the type SCARA, selective compliance articulated robot arm, is constructed. The aim was to examine how such a robot could be constructed using 3D-printing and how accurate it would be. READ MORE
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4. Enabling More Efficient E-Mobility : Grease Development by a Novel Bearing-Grease Test Machine
University essay from KTH/Maskinkonstruktion (Avd.)Abstract : The inclusion of electric vehicles in the automotive industry represents an opportunity for lubricating grease producers. Different speed, loads, and electric conditions are present in the bearings of the electric vehicles when compared with the conditions in a traditional internal combustion engine vehicle. READ MORE
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5. Outlier detection on sparse-encoded vibration signals from rolling element bearings
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : The demand for reliable condition monitoring systems on rotating machinery for power generation is continuously increasing due to a wider use of wind power as an energy source, which requires expertise in the diagnostics of these systems. An alternative to the limited availability of diagnostics and maintenance experts in the wind energy sector is to use unsupervised machine learning algorithms as a support tool for condition monitoring. READ MORE