Essays about: "Wavelet-transformation"

Showing result 1 - 5 of 7 essays containing the word Wavelet-transformation.

  1. 1. Vibroacoustic Analysis of an OLTC Diverter Switch for Condition Monitoring : Time frequency analysis with Fourier and wavelet transform in combination with multivariate logistic regression for condition monitoring of OLTC diverter switch

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Simon Persson; [2023]
    Keywords : Wavelet transform; CWT; logistic regression; machine learning; ML; vibroacoustic analysis; time frequency analysis; tap changer; diverter switch; power transformer; classification; prediction; condition; vibrations; state prediction; Hitachi Energy;

    Abstract : Vibrations are everywhere around us all the time and we often recognise them as sounds that we can hear and analyse with our brain. In this thesis, data that has been gathered from a diverter switch (DS) in a controlled environment, is analysed. READ MORE

  3. 2. Dealing With Speckle Noise in Deep Neural Network Segmentation of Medical Ultrasound Images

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Olmo Daniel; [2022]
    Keywords : Deep Learning; Ultrasound; Speckle Filtering; Medical Image Segmentation; U-Net; Wavelet Transfrom; Djupinlärning; Ultraljud; Specklefiltrering; Medicinsk bildsegmentering; U-Net; Wavelet transformation;

    Abstract : Segmentation of ultrasonic images is a common task in healthcare that requires time and attention from healthcare professionals. Automation of medical image segmentation using deep learning solutions is fast growing field and has been shown to be capable of near human performance. READ MORE

  4. 3. Transfer learning techniques in time series analysis

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Robinson Sablons de Gélis; [2021]
    Keywords : Deep learning; Time series; Transfer learning; Self-supervised learning; Domain adaptation; Djupinlärning; tidsserier; överföringsinlärning; självövervakad inlärning; domänanpassning;

    Abstract : Deep learning works best with vast andd well-distributed data collections. However, collecting and annotating large data sets can be very time-consuming and expensive. Moreover, deep learning is specific to domain knowledge, even with data and computation. E. READ MORE

  5. 4. Fault Location and Classification for Transmission Line Based on Wavelet Transform

    University essay from KTH/Skolan för elektro- och systemteknik (EES)

    Author : Qiuhong Wang; [2016]
    Keywords : Traveling wave; fault location; fault classification; wavelet transform; ATP EMTP.; Vågrörelse; fellokalisering; felklassificering; wavelet transformation; ATP EMTP;

    Abstract : With the rapid development of power systems, locating and classifying faults is critical to the continuity and reliability of the transmission system. In this thesis, a traveling-wave based technique for fault location and classification on high voltage and extremely high-voltage transmission lines is proposed. READ MORE

  6. 5. Anomaly Detection in Diagnostics Data with Natural Fluctuations

    University essay from KTH/Optimeringslära och systemteori

    Author : Jesper Sundberg; [2015]
    Keywords : Machine learning; anomaly detection; fault detection; Linear Predictive Coding; Sparse Linear Prediction; Wavelet Transformation; Maskinlärning; anomalidetektering; feldetektering; Linear Predictive Coding; Sparse Linear Prediction; Wavelet-transformation;

    Abstract : In this thesis, the red hot topic anomaly detection is studied, which is a subtopic in machine learning. The company, Procera Networks, supports several broadband companies with IT-solutions and would like to detected errors in these systems automatically. READ MORE