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MJEE-1

Majlesi Journal of Electrical Engineering

Editor-in-Chief: Farbod Razzazi, PhD

Online ISSN: 2345-3796

Print ISSN: 2345-377X

Publishes Quarterly

Original Article
Mitigating of Sub-synchronous Resonance in a Series-Compensated Hybrid System with Steam and Wind Turbine Using FACTS Controllers

The growing requirement to the clean and renewable energy has led to the rapid development of wind power systems all over the world. With increasing use of wind power in power systems, impact of the wind generators on sub-synchronous resonance (SSR) is going more important. The SSR is a well-known phenomenon in a series compensated […]

Original Article
Design and Analysis of Three New SRAM Cells

Three new SRAM cells are proposed in this paper. Increasing area overhead is the major concern in SRAM design. One of the new structures is included four transistors instead of six transistors as it is used in conventional 6T-SRAM cell for very high density embedded SRAM applications. The structure of proposed SRAM employs one word-line […]

Original Article
Investigation of the Effects of Unbalanced Voltages on the Performance of a Three-Phase Squirrel Cage Induction Motor using Finite Element Method

Induction motors are widely used in industrial, commercial and residential applications. An induction motor may exposed to the unbalanced voltage in the various operating conditions. Therefore, it is vital to investigate influences of voltage unbalance on performance of induction motors. In this paper, the performance of a three-phase squirrel cage  induction motor has been simulated […]

Original Article
Estimating Electrical Parameters of the Induction Motor by Measuring the Components Temperatures

In this article the electrical parameters of the induction motor are estimated by measuring temperature of its components. This process consists of four sections: 1-Thermal resistance model 2- Electrical parameters 3- Electrical model and 4- Neural network which presents motor parameters and operational status compatible with corresponding learning data. In thermal resistance model, we use […]