Sökning: "tool wear prediction"
Visar resultat 1 - 5 av 11 uppsatser innehållade orden tool wear prediction.
1. Visualization and analysis of object states using diffusion models and PyTorch
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : 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. LÄS MER
2. Dynamic Control, Modeling and Sizing of Hybrid Power Plants : Investigating the optimum usage of energy storage for Fortum’s hydropower
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
3. Development of a 3D Ring Dynamics Model For a Heavy-Duty Piston Ring-Pack
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för maskinteknikSammanfattning : 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. LÄS MER
4. Relating Process Data to Product Quality in Transmission Manufacturing
Master-uppsats, KTH/Industriell produktionSammanfattning : 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. LÄS MER
5. Implementation of an 8-bit Dynamic Fixed-Point Convolutional Neural Network for Human Sign Language Recognition on a Xilinx FPGA Board
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : 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. LÄS MER