Akhyurna Swain

ORCID: 0000-0001-9606-2000
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About
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Research Areas
  • Electric Motor Design and Analysis
  • Machine Fault Diagnosis Techniques
  • Mechanical stress and fatigue analysis
  • Islanding Detection in Power Systems
  • High voltage insulation and dielectric phenomena
  • Gear and Bearing Dynamics Analysis
  • Thermal Analysis in Power Transmission
  • Magnetic Field Sensors Techniques
  • Photovoltaic System Optimization Techniques
  • Microgrid Control and Optimization

New Jersey Institute of Technology
2022-2025

Signal processing and fault indicators analysis are essential for efficient detection, classification, diagnosis of wind turbines. Accordingly, existing works proposed the installation multiple intrusive sensors (e.g., current, voltage, accelerometer) data collection in order to detect classify faults turbine drive trains (WTDT). However, these scattered on train have a limited local reach its components making it technically difficult install. Therefore, signals from not able multi...

10.1109/isgt59692.2024.10454244 article EN 2024-02-19

Wind turbine drive trains consist of mechanical components such as the gearbox, bearings and rotating shaft; an electrical component, electric generator. These are electromagnetically electromechanically coupled with each other have continuously parts, making them more susceptible to faults. Unfortunately, these individually modeled while performing finite element analysis, coupling effects neglected, yielding approximations that not acceptable for, e.g., modal analysis. This paper addresses...

10.1109/intermagshortpapers58606.2023.10228425 article EN 2023-05-01

Wind turbine drive trains consist of mechanical components, such as the gearbox, bearings, and rotating shaft, an electrical component, electric generator. These components are electromagnetically electromechanically coupled with each other have continuously parts, making them more susceptible to faults. Unfortunately, these individually modeled while performing finite element analysis (FEA), coupling effects neglected, yielding approximations that not acceptable for, e.g., modal analysis....

10.1109/tmag.2023.3314374 article EN IEEE Transactions on Magnetics 2023-09-12

In the proposed work, a grid connected AC microgrid fed by hybrid renewable distributed energy sources comprising of solar photovoltaic system and wind conversion (WECS) is modeled. The Solar Photovoltaic modeled with Perturb observe (P&O) based MPPT algorithm. A three-phase interfaced voltage source inverter designed an advanced bus clamping pulse width modulation technique called 30-degree split clamp for side analysis microgrid. This compared against space vector (SVPWM) scheme. former...

10.1109/icepe50861.2021.9404535 article EN 2021-03-05
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