Essays about: "frequency domain analysis"
Showing result 1 - 5 of 112 essays containing the words frequency domain analysis.
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1. Comparing machine learning algorithms for detecting behavioural anomalies
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Attempted intrusions at companies, either from an insider threat orotherwise, is increasing in frequency. Most commonly used is static analysis and filters to stop specific attacks. READ MORE
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2. Vibration analysis and testing of a 6U cubesat propulsion system
University essay from KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanikAbstract : Space industry has been booming in the recent times, investments have not justbeen made on satellites and launch vehicles but also on space sustainability. Spaceindustry has its users in national agencies, private commercial agencies, academia andexperimental organisations. READ MORE
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3. A study investigating the factors that causes delays in construction equipment projects in UX/HMI area
University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesignAbstract : This research study investigates the factors contributing to delays in construction equipment projects, specifically in the User Experience (UX) and Human-Machine Interface (HMI) area, with a particular focus on projects conducted at the company Volvo Construction Equipment. The study incorporates a literature review, a mixed-methods approach combining qualitative and quantitative analysis, and in-depth discussions. READ MORE
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4. Mapping of IPM machine efficiency and Noise Vibration Harshness : An investigation into trade-offs with respect to efficiency and Noise Vibration Harshness
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Due to the recent shift towards electrification, electric machines has become a prominent option to be used in vehicle applications. Much effort is spent in the development process of these machines to make optimizations in order to improve the performance aspects of the machine. READ MORE
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5. Cosmic Dust Detection by the Solar Orbiter Using Machine Learning
University essay from Uppsala universitet/Institutet för rymdfysik, UppsalaavdelningenAbstract : This project aims to investigate neural network systems as an effective tool for the in-space captured dust impact signal detection. Cosmic dust is the nanometre to micrometre fine-sized particles that exist in the interplanetary region. They originate from comets, asteroids, the planets and their moons and rings, or even the interstellar region. READ MORE