Tatjana Barashkova, Tatjana Baraškova

@taltech.ee

TalTech Virumaa College, School of Engineering
ENERGY TECHNOLOGY PROCESSES CONTROL WORKING GROUP



                 

https://researchid.co/tatjana.baraskova

RESEARCH INTERESTS

Natural Sciences and Engineering; Mechanical Engineering, Automation Technology and Manufacturing Technology; Mechanical engineering, hydraulics, vacuum technology, vibration acoustic engineering ; Multifractal Analysis Signals

10

Scopus Publications

Scopus Publications

  • New Opportunities in Real-Time Diagnostics of Induction Machines
    Tatjana Baraškova, Karolina Kudelina, and Veroonika Shirokova
    MDPI AG
    This manuscript addresses the critical challenges in achieving high-accuracy remote control of electromechanical systems, given their inherent nonlinearities and dynamic complexities. Traditional diagnostics often suffer from data inaccuracies and limitations in analytical techniques. The focus is on enhancing the dynamic model accuracy for remote induction motor control in both closed- and open-loop speed control systems, which is essential for real-time process monitoring. The proposed solution includes real-time measurements of input and output physical quantities to mitigate inaccuracies in traditional diagnostic methods. The manuscript discusses theoretical aspects of nonlinear torque formation in induction drives and introduces a dynamic model employing vector control and speed control schemes alongside standard frequency control methods. These approaches optimize frequency converter settings to enhance system performance under varying nonlinear conditions. Additionally, the manuscript explores methods to analyze dynamic, systematic errors arising from frequency converter inertial properties, thereby improving electromechanical equipment condition diagnostics. By addressing these challenges, the manuscript significantly advances the field, offering a promising future with enhanced dynamic model accuracy, real-time monitoring techniques, and advanced control methods to optimize system reliability and performance.

  • Fault Detecting Accuracy of Mechanical Damages in Rolling Bearings
    Karolina Kudelina, Tatjana Baraškova, Veroonika Shirokova, Toomas Vaimann, and Anton Rassõlkin
    MDPI AG
    Electrical machines are to face different challenging factors during operation, such as high unexpected or excessive loads, unusual properties of the working environment, or intense fluctuations in rotation speed. Therefore, maintenance questions and predicting the accuracy of an equipment’s condition have great importance. This study is based on the theory of vibration reliability. This article introduces the most common faults of bearings in electrical machines and discusses their diagnostic possibilities. Experimental setup, as well as studied bearing failures, are described. The accuracy of conducted experiments is introduced.

  • Experience in an Application of Project-Based Learning to Teaching of Mechanical Engineering and Energy Technology Processes Control
    Aleksei Hõbesaar, Tatjana Baraškova, and Veroonika Shirokova
    Springer International Publishing

  • Application of the improved method of grids with the estimation of accuracy
    Dmitri Gornostajev, Gennady Aryassov, Tatjana Barashkova, and Sergei Zhigailov
    Elsevier BV

  • Estimation of complex derivatives and application for fault diagnosis


  • Development of the improved method of grids


  • Methods for estimating the damage factor of materials under the influence of plasma


  • Generalization of the method of finite differences



  • Symbolic solution algorithms of mechanic matrix equations


RECENT SCHOLAR PUBLICATIONS

    Publications