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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752     EISSN : 25024760     DOI : -
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Articles 25 Documents
Search results for , issue "Vol 2, No 1: April 2016" : 25 Documents clear
Induction Motors Stator Fault Analysis based on Artificial Intelligence Hussein Taha Hussein; Mohamed Ammar; Mohamed Moustafa Hassan
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 1: April 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i1.pp69-78

Abstract

This article presents a method for fault detection and diagnosis of stator inter-turn short circuit in three phase induction machines. The technique is based on the stator current and modelling in the dq frame using an Adaptive Neuro-Fuzzy artificial intelligence approach. The developed fault analysis method is illustrated using MATLAB simulations. The obtained results are promising based on the new fault detection approach.
Satellite-Based Land Surface Temperature Estimation of Bogor, Indonesia Ema Kurnia; I Nengah Surati Jaya; Widi Atmaka
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 1: April 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i1.pp221-228

Abstract

 The earth’s average temperature has been a big issue on the global warming. The warming of the earth is largely the results of emission of carbon dioxide and other greenhouse gasses (GHG) from human activities. As a hinterland of the Capital City, in the last two decades, Bogor is also getting warmer in comparison with the previous decades. This paper presents how the land surface temperature (LST) had been estimated using Split-Window (SW) algorithm and how its spatial distribution in Bogor was computed. The spectral radiance of Landsat-8 TIR bands 10 and 11, the emissivity values, and water vapor used as the input on SW Algorithm. The study revealed that the temperature within the built-up area, have warmer temperature than their surrounding ranging from 400C to 450C of 3,403.9 ha. The use of SW algorithm is quite reliable and accurate to estimate the LST derived from Landsat-8 having a mean deviation of only 2.7%, less than standard acceptable of 10%.
An Enhanced Symmetrical Fault Detection during Power Swing/Angular Instability using Park’s Transformation Jeevitha A; Devi S
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 1: April 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i1.pp23-31

Abstract

Power systems are subjected to a wide range of small or large disturbances during operating conditions. Power system disturbances such as line switching, generator disconnection and sudden removal of faults causes oscillations in an electrical machine rotor angles that can result in severe power swings. Depending on the protection controls, the system may remain stable or unstable and it may result in loss of synchronism. In recent years, distance relay finds difficulty between symmetrical fault and power swing which causes undesired tripping of the transmission line is the foremost reason for blackout. This paper proposes a new method Park’s Transformation and Fast Fourier Transform which are used to discriminate between the three phase fault and power swing and also to protect the backup zone of distance relay. This method is verified for normal and abnormal conditions with different load angles and different fault locations in IEEE 6-bus system are simulated in MATLAB/ Simulink. The Simulation results show the capability to avoid unwanted tripping decision of relay quickly and precisely.
Optimization of Ship’s Route Scheduling Using Genetic Algorithm Vivi Nur Wijayaningrum; Wayan Firdaus Mahmudy
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 1: April 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i1.pp180-186

Abstract

Route scheduling is a quite complicated process because it involves some determinant factors. Several methods have been used to help resolve the NP-hard problems. This research uses genetic algorithm to assist in optimizing ship scheduling, that where there are several ports to be visited by some ships. The goal is to divide the ship to go to a specific port so that each port is only visited by one ship to minimize the total distance of all ships. The computational experiment produces optimal parameters such as the number of popsize is 30, the number of generations is 100, crossover rate value is 0.3 and mutation rate values is 0.7. The final results is an optimal ship route by minimizing the distance of each ship.
Automatic Voltage Generation Control for Two Area Power System Based on Particle Swarm Optimization Ali M. Ali; M.A. Ebrahim; M.A. Moustafa Hassan
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 1: April 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i1.pp132-144

Abstract

This article presentes a PID controller for two area power system equipped with both automatic generation control and automatic voltage regulator loops. The research has been done to control two area power systems with PSO optimized self-tuning PID controller. The comparison between different controllers and the suggested PSO based controller illustrates that the proposed controller can generate the best dynamic response for a step load change. For this purpose, MATLAB-Simulink software is used. The obtained results are promising.

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