Sökning: "Acoustic Emission"

Visar resultat 21 - 25 av 35 uppsatser innehållade orden Acoustic Emission.

  1. 21. Improved failure detection with higher degree of statistical confidence

    Master-uppsats, KTH/Maskinkonstruktion (Inst.)

    Författare :Josefine Tarvainen; [2015]
    Nyckelord :Gearbox; Vibration; Gear; Truck; växellåda; vibration; kugghjul; lastbil;

    Sammanfattning : This master thesis has been performed by a request from Scania CV AB in Södertälje. Scania CV AB is a global company manufacturing heavy vehicles, such as busses and trucks. When developing a gearbox, an endurance test is made that shows failures, such as damaged gears or bearings. STP and delta-ANALYSER are used to discover this kind of failure. LÄS MER

  3. 22. Interaction between Metallic Microparticles and Mesospheric Plasma

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Hannes Lindström; Michael Nivala Fernberg; [2014]
    Nyckelord :;

    Sammanfattning : SCRAP is a student experiment that aims to validate theories on electron density fluctuations induced by the presence of dust particles connected to the phenomenon of polar mesospheric summer echoes (PMSE). Radar echoes are to be measured from a dust cloud of metallic microparticles released into the mesosphere above northern Sweden using a sounding rocket in spring 2015. LÄS MER

  4. 23. Wind farm noise impact in France: A proposition of acoustic model improvements for predicting energy production

    Master-uppsats, KTH/Energiteknik

    Författare :William Keller; [2014]
    Nyckelord :Wind power; noise emission; acoustic model;

    Sammanfattning : Despite all environmental and economic advantages of wind power, noise emission remains an issue for population acceptance. In France, the current noise emission regulation defines noise emergence level thresholds, leading to wind turbine curtailment. Great energy generation losses and thus lost revenues are at stake. LÄS MER

  5. 24. A critical examination of deep learningapproaches to automated speech recognition

    Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :NIZAR GANDY ASSAF LAYOUSS; [2014]
    Nyckelord :;

    Sammanfattning : Recently, deep learning techniques have been successfully applied to automatic speech recognition (ASR) tasks. Most current speech recognition systems use Hidden Markov Models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) are exploited to model the emission probability of the HMM. LÄS MER

  7. 25. Acoustic Emission Properties of Partial Discharges in the time-domain and their applications

    Uppsats för yrkesexamina på avancerad nivå, KTH/Elektroteknisk teori och konstruktion

    Författare :Patrick Janus; [2012]
    Nyckelord :;

    Sammanfattning : A partial discharge (PD) is an unwanted phenomenon in electrical equipment. Therefore it is of great importance to identify different types of PD and assess their severity. LÄS MER