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Jurnal EECCIS
Published by Universitas Brawijaya
ISSN : 19783345     EISSN : 24608122     DOI : -
Core Subject : Engineering,
Engineering
EECCIS is a scientific journal published every six month by electrical Department faculty of Engineering Brawijaya University. The Journal itself is specialized, i.e. the topics of articles cover electrical power, electronics, control, telecommunication, informatics and system engineering. The languages used in this journal are Bahasa Indonesia and English.
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Articles 5 Documents
 1 
Search results for , issue "Vol. 17 No. 2 (2023)" : 5 Documents clear
Implementation of Power Factor Correction using Asynchronous Boost Converter on Single Phase Full-Bridge Diode Masramdhani Saputra; Imron Ridzki; Sigit Setya Wiwaha; Saddani Djulihenanto
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 2 (2023)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i2.1630

Abstract

In various industrial applications, the use of a power supply that uses a conventional diode single-phase rectifier topology results in high harmonic values in the electricity distribution system. One of the real impacts of this harmonic value is the heating of the electric power system equipment and power losses. High rms current values due to harmonics often cause problems in protection settings in addition to efficiency problems. The percentage value between the total harmonic component and the fundamental component is called THD (Total Harmonic Distortions). Therefore, in this study an asynchronous dcdc boost converter is connected to the output side of a singlephase diode rectifier which is capable of improving power factor and low harmonics. So that a THD value of less than 15%, PF (Power Factor) = 0.92-1 and a sinusoidal input current can be obtained. The implementation results show that the PFC (Power Factor Correction) method can work well on single-phase diode rectifiers.
Study of Permanent Magnet Synchronous Motor With LQG Controller and Observer On The Hydraulic Pump System Paulus Setiawan; Linda Meilani; Denny Dermawan; Freddy Kurniawan; Okto Dinaryanto
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 2 (2023)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i2.1637

Abstract

In today's aircraft industry, the flight control system and landing gear system cannot be separated from the role of the hydraulic technology system. As the prime mover of the hydraulic pump or actuator hydraulic system, a permanent magnet synchronous motor (PMSM) is used. This PMSM is a substitute for the role of conventional combustion engines, and PMSM is considered to have several advantages in increasing performance and efficiency. This research will develop a system to find parameter values for Linear Quadratic Gaussian (LQG) controllers in a hydraulic pump system that is installed as a load from PMSM and then observe and analyze the performance of the response of the synchronous motor system, namely in the form of changes in rotor rotation speed, torque electric power, and stator current on the q-axis. The results of the research on the characteristics of the PMSM implemented in the hydraulic pump system show that the LQG controller is more optimal when compared to the observer controller. The LQG controller is known to have a faster transient response, which is indicated by the value of the settling time improvement at no load, namely 116.67% for the observer controller and 364.705% without the controller. Then when the synchronous motor serves the nominal load, the rotational speed of the rotor produced in the steady state becomes 8.29% faster than the observer controller and 74.49% without the controller. This rotor's rotational speed affects the time the actuator needs to extend and retract motion.
The Performance of K-Nearest Neighbor (KNN) Approach for Estimating Extreme Rain Events based on CCTV Images Camera Data Soni Aulia Rahayu; Sinta Berliana Sipayung; Adi Witono; LIlik S Suprihatin
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 2 (2023)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i2.1649

Abstract

Abstract—Hydrometeorological disasters such as flooding in urban areas are a big problem that must be managed. Indonesia as part of the maritime continent, has high rainfall variability, both temporally and spatially. Unfortunately, the density of instruments for measuring rainfall is still low. To solve the problem, this research will try to utilize and modify Closed Circuit Television (CCTV) cameras which have a large number in terms of quantity as instruments for measuring rainfall. The purpose of this research is to obtain rainfall image information and data generated by CCTV cameras. The image data is converted to quantitative rainfall data. The method used is the K-NN algorithm and machine learning. The research location is located in a corner of the city of Bandung with a geographical position of 60 53”30.49'S and 107.035” 12.27' E. The results of this research show that the K-NN algorithm can be applied to estimate rainfall data from CCTV images with an accuracy of more than 98%. The level of accuracy generated between CCTV camera image data and AWS is 94%. The level of accuracy is high means that CCTV camera image data can represent or be converted into quantitative rainfall data. Index Terms—Rainfall, Rain Gauge, CCTV Camera, Image Processing, Validation.
Analysis Of Rotor-Side Control And Grid-Side Controls For Grid Voltage Improvement In A DFIG-Based Wind Turbine System mus ali alsabah; Rini Nur Hasanah; Wijono; Corina Martineac
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 2 (2023)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i2.1651

Abstract

Wind Power Plant (PLTB) has received a lot of attention from the public, researchers, and the government because of its advantages and role in reducing the causes of environmental damage due to the generation of electrical energy. Unlike power plants that use primary energy from fossil fuels, PLTB uses wind kinetic energy to generate electricity. Many problems arise because the wind speed is always changing every time. The resulting output voltage instability in the generator can affect the electric power system where the output electricity of the generator is injected. This paper describes how to analyze the generator output voltage control at PLTB. The generator used is a type of induction generator with two inputs (Double-Fed Induction Generator, DFIG). while the method of analysis is carried out using the PSIM simulation tool from Powersim, Inc. Control is carried out both on the rotor side (Rotor Side Converter, RSC) and on the grid side (Grid Side Converter), with the aim of maintaining the output voltage injected into the power grid with a certain level of voltage oscillation. The control results show that the generator output voltage can be maintained as desired.
Advancing Fault Diagnosis for Parallel Misalignment Detection in Induction Motors Based on Convolutional Neural Networks Hanif Adi Rahmawan; Bambang Lelono Widjianto; Katherine Indrawati; Rizki Mendung Ariefianto
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 2 (2023)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i2.1655

Abstract

Maintenance of machines is highly necessary to prolong the operational lifespan of induction motors. Prioritizing preventive measures is crucial in order to prevent more significant damage to the machinery. One of these measures includes detecting abnormalities, such as misalignment, in the motor shaft. This research is aimed to detect the misalignment of induction motor experimentally by varying the coupling between normal and parallel misalignment. The signal readings were analyzed in the frequency domain using Fast Fourier Transform (FFT). The results revealed that in the case of coupling misalignment, a peak appeared at f = 13.5 Hz, whereas in the parallel misalignment condition with a 1 cm misalignment, a peak was found at f+fr = 20 Hz. By utilizing the Convolutional Neural Network (CNN) system, normal and parallel conditions can be detected with an accuracy level of 87.5%.

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