Essays about: "tool wear prediction"
Showing result 1 - 5 of 11 essays containing the words tool wear prediction.
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1. Visualization and analysis of object states using diffusion models and PyTorch
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. READ MORE
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2. Dynamic Control, Modeling and Sizing of Hybrid Power Plants : Investigating the optimum usage of energy storage for Fortum’s hydropower
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The rapidly evolving Nordic Power System demands enhanced flexibility and robustness in electricity production. The traditional role of hydropower plants in regulating the grid frequency has been challenged by new criteria for dynamic stability, which some units struggle to meet due to their relatively poor dynamic performance. READ MORE
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3. Development of a 3D Ring Dynamics Model For a Heavy-Duty Piston Ring-Pack
University essay from Blekinge Tekniska Högskola/Institutionen för maskinteknikAbstract : With the increasing restrictions in emission legislations, the automotive industry aims to improve the efficiency of the lubricating system and to decrease fuel consumption. In the power cylinder unit (PCU), the piston rings are the major contributor to these consumptions. READ MORE
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4. Relating Process Data to Product Quality in Transmission Manufacturing
University essay from KTH/Industriell produktionAbstract : Research has shown that vibration produced by a machine tool provides useful information for the maintenance of its structural parts. Thus, the vibration signal should also give information about tool wear and, consequently, surface roughness of the machined workpieces. READ MORE
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5. Implementation of an 8-bit Dynamic Fixed-Point Convolutional Neural Network for Human Sign Language Recognition on a Xilinx FPGA Board
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The goal of this thesis work is to implement a convolutional neural network on an FPGA device with the capability of recognising human sign language. The set of gestures that the neural network can identify has been taken from the Swedish sign language, and it consists of the signs used for representing the letters of the Swedish alphabet (a.k.a. READ MORE