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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Journal of Renewable Energy, Electrical, and Computer Engineering
Yahya, Yanawati
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Determining the Appropriate use of 3 Phase 150 kV Transformer Oil Using the Fuzzy Method Maizana, MT, Dina; Tampubolon, Moulando; Muhathir, Muhathir; Siregar, Muhammad Fadlan; Yahya, Yanawati
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.17914

Abstract

Transformer is electrical power equipment that functions to convert electrical energy from one voltage value to another through the action of a magnetic field. Transformers are important electrical equipment because they are directly connected to electricity transmission and distribution lines. The aim of this research is to analyze transformer oil and its suitability standards. The type of research used is quantitative research using the Dissolved Gas Analysis (DGA) method. The data obtained for this method will be calculated by applying Fuzzy Logic to map the problem or determine variables. The mapping results will then be calculated using Matlab as the result of mathematical data analysis in graph form.
A review of modeling techniques and structural topologies for double stator permanent magnet machines Muliawati, Fithri; Ahmad, Suhairi Rizuan Che; Othman, Raja Nor Firdaus Kashfi Raja; Yahya, Yanawati; Nur, Tajuddin
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp751-768

Abstract

This study reviews the advancements in double-stator permanent magnet machines (DSPMM) with a focus on modeling techniques, design variations, and performance optimization. The research categorizes existing DSPMM modeling methods, including numerical approaches like finite element method (FEM) and boundary element method (BEM), as well as analytical approaches such as analytical subdomain method (ASM), magnetic equivalent circuit (MEC), and Maxwell's equation approach (MEA). These methods improve analytical accuracy, computational efficiency, and address challenges like magnetic saturation and electromagnetic interactions. Structural innovations, including segmented rotor-stator techniques, Halbach arrangements, and soft composite materials, enhance torque density, reduce cogging torque, and optimize magnetic flux distribution, contributing to higher energy efficiency and reduced noise. Supported by software tools like Ansys Maxwell and JMAG-designer, this study identifies optimal DSPMM configurations for various applications, including electric vehicles and renewable energy systems. The findings emphasize the potential of DSPMM for efficient, high-performance electric machines while highlighting the need for further research on transient effects and advanced cooling systems to improve thermal stability.
Co-Authors Ahmad, Suhairi Rizuan Che Dina Maizana Fithri Muliawati Muhammad Fadlan Siregar Muhathir, Muhathir Nur, Tajuddin Othman, Raja Nor Firdaus Kashfi Raja Tampubolon, Moulando