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OpenAlex topic

Power Transformer Diagnostics and Insulation

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 968 works 44 author topics

Works

968 works

  1. An effective wavelet based feature extraction method for classification of power quality disturbance signals 2008
    YÖKSİS SJR Q1 JCR Q3 OpenAlex top 10% OpenAlex 98.3%

    No abstract yet.

  2. An effective wavelet based feature extraction method for classification of power quality disturbance signals 2008
    YÖKSİS SJR Q1 JCR Q3 OpenAlex top 10% OpenAlex 98.3%

    No abstract yet.

  3. An expert system based on S transform and neural network for automatic classification of power quality disturbances 2009
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.3%

    No abstract yet.

  4. Synthesis, stability, density, viscosity of ethylene glycol-based ternary hybrid nanofluids: Experimental investigations and model -prediction using modern machine learning techniques 2022
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.5%

    No abstract yet.

  5. Synthesis, stability, density, viscosity of ethylene glycol-based ternary hybrid nanofluids: Experimental investigations and model -prediction using modern machine learning techniques 2022
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.5%

    No abstract yet.

  6. An experimental study on stability and thermal conductivity of water-graphene oxide/aluminum oxide nanoparticles as a cooling hybrid nanofluid 2019
    OpenAlex top 10% OpenAlex 97.3%

    No abstract yet.

  7. Characterization of voltage sags in industrial distribution systems 2002
    OpenAlex top 1% OpenAlex 99.4%

    This paper describes the various characteristics of voltage sags experienced by customers within industrial distribution systems. Special emphasis is paid to the influence of the induction motor load on the characterization of voltage sags. During a fault, an induction motor operates as a generator for a short period…

  8. Preparation, characterization, stability, and thermal conductivity of rGO-Fe3O4-TiO2 hybrid nanofluid: An experimental study 2020
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.4%

    No abstract yet.

  9. Optimal feature selection for classification of the power quality events using wavelet transform and least squares support vector machines 2013
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 95.1%

    No abstract yet.

  10. Optimal feature selection for classification of the power quality events using wavelet transform and least squares support vector machines 2013
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 95.1%

    No abstract yet.

  11. Optimal feature selection for classification of the power quality events using wavelet transform and least squares support vector machines 2013
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 95.1%

    No abstract yet.

  12. Experimental study for predicting the specific heat of water based Cu‐Al2O3 hybrid nanofluid using artificial neural network and proposing new correlation 2020
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.5%

    In this study, an artificial neural network model has been created in order to estimate the specific heat of Cu-Al2O3/water hybrid nanofluid based on temperature (T) and volume concentration (φ). Specific heat values of the Cu-Al2O3/water hybrid nanofluid prepared in five-volume concentration were measured experimenta…

Academicians

44 academicians