Bulletin of Electrical Engineering and Informatics
Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, computer and informatics engineering.
Articles
2,901 Documents
A Novel Technique for Asymmetrical Fault Detection
Rahul Dubey
Bulletin of Electrical Engineering and Informatics Vol 1, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v1i4.251
This paper proposes a novel technique for asymmetrical fault detection (LLL-G) in DFIG based wind form using wavelet based energy function. In this study, there are six wind turbine driven DFIG are grouping together to make wind farm and 9 MW power is feeding to the grid. Further, the rotor is supplied by a bidirectional PWM converter for the control of active and reactive power flows from DFIG to the grid. In the case study, the three-phase fault is created in the grid and proposed algorithm detects the fault with in one and half cycles for 60 Hz system. A new diagnostic method based on the grid modulating signals pre-processing by Discrete Wavelet Transform (DWT) is here proposed to detect grid faults dynamically over time. Simulation results demonstrate the effectiveness of the proposed approach under time-varying conditions.
Robust Control of a Brushless Servo Motor Using Sliding Mode
Radita Arindya
Bulletin of Electrical Engineering and Informatics Vol 1, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v1i4.252
The application of sliding mode techniques the position control of a brushless servo motor is discussed. Such control laws are well suited for electric power inverter. However, high frequency commutations are avoided due to the mechanical systems. Various recent schemes are studied and operated to derive control solutions which are technically feasible. In spite of straightforward applications the resulting systems show robust performances to parametric variations and disturbances. Robustness studied with respect to rotor flux uncertainties and to stator resistance which varies with the temperature of the motor.
Optimization of LPG Diffusion Flame Synthesis of CNT Structures using Statistical Design of Experiments (SDOE)
Rabinder Singh;
Akash Deep;
Jyoti Bharj;
Nishtha Arya
Bulletin of Electrical Engineering and Informatics Vol 1, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v1i4.253
A statistical designed experimental approach was followed to investigate the various diffusion flame conditions for the synthesis of carbon nanotubed structures utilizing domestic Liquefied petroleum gas (IS – 4576) as the fuel carbon source. LPG flow rate, Oxygen flow rate, Height above burner (HAB) and Exposure time have been identified to generate different flame conditions based on varying One factor at a time (OFAT) approach. Two–level ‘full factorial’ design model in “Minitab12” software has been used for design of experiments. The 16 samples of soot with different flame conditions were collected on the surface of stainless steel plate. The output parameters i.e. weight of soot and substrate surface temperature were analyzed by Analysis of variance (ANOVA) to ensure that the experimentation is following the physics of the diffusion flame.Transmission electron microscope (TEM) images showed the growth of well aligned single walled carbon nanotubed structures with high aspect ratio as 220nm – 650nm diameter and 534nm – 1803nm length. In the present studythe parametric range for producing the single walled carbon–nanotubed structures through LPG diffusion flame have been found for optimization.
All-optical NOT Logic Based on Asymmetric SOA-Assisted Mach-Zehnder Interferometer
Xiaohua Ye
Bulletin of Electrical Engineering and Informatics Vol 1, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v1i4.254
A novel scheme for all-optical NOT logic which exploits the cross-phase modulation (XPM) effect in an asymmetric SOA-assisted Mach-Zehnder Interferometer (SOA-MZI) has been proposed for the first time. Only two input beams are employed to achieve NOT operation in this new design. The scheme is validated and the system performance is optimized with various parameters through numerical simulations. This compact logic gate is helpful for future all-optical computing and networks.
Finite Element Approach of Shielded, Suspended and Inverted Microstrip Lines
Sarhan Musa;
Matthew N.O. Sadiku
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v2i1.255
In this paper, we present finite element method (FEM) to investigate the electromagnetic analysis of two-dimensional (2D) shielded, suspended and inverted microstrip lines for microwave applications. In the proposed method, we specifically determine the values of capacitance per unit length, inductance per unit length, and characteristic impedance of the microstrip lines. Extensive simulation results are presented and some comparative results are given with other methods and found them to be in excellent agreement. We extend the analysis by designing our new model of shielded, inverted microstrip lines and compared it with shielded, suspended microstrip lines; we found them to be very close. Also, we determine the quasi-TEM spectral for the potential distribution of these microstrip lines.
Hybrid Facial Geometry Algorithm for facial feature Extraction and Expression Recognition using ANFIS and BPNN
Sunanda P. Khandait;
R. C. Thool;
Prabhakar D. Khandait
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v2i1.256
An Intelligent Biometrics systems aims at localizing and detecting human faces from supplied images so that further recognition of persons and their facial expression recognition will be easy. The area of human-computer interaction (HCI) will be much more effective if a computer is able to recognize the emotional state of human being. Emotional states have a greater effect on the face which can tell about mood of a person. So if we can recognize facial expressions, we will know something about the human’s emotions and mood. This paper focuses on the novel Hybrid Facial Geometry Algorithm (HFGA) and comparative analysis of Facial Geometry algorithm and HFGA for facial feature extraction and its use to classify facial expressions. Feed forward back propagation neural network (BPNN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) are used as classifiers for expression classification and recognition. Experimentations are carried out using Japanese Female Facial Expression (JAFFE) database. Experimental results shows that average recognition efficiency from 95.33% to 93.33% is achieved for 30 to 75 test samples using BPNN and 95.71% to 95.33% with ANFIS approach.
Cascade modelling for predicting solubility index of roller dried goat whole milk powder
Sumit Goyal;
Gyanendra Kumar Goyal
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v2i1.257
The aim of this work was to investigate the prediction ability of Cascade artificial neural network (ANN) models for solubility index of roller dried goat whole milk powder. The input variables for ANN model were: loose bulk density, packed bulk density, wettability and dispersibility, while solubility index was the output variable. Mean square error, root mean square error, coefficient of determination and Nash - sutcliffo coefficient were used as performance measures. Modelling results indicated very good agreement between the actual and the predicted data, thus confirming that ANN could be used to predict solubility index of roller dried goat whole milk powder.
Reliability Assessment of Power Generation System With Wind Farm
WANG Xin-wei;
ZHANG Jian-hua;
JIANG Cheng;
YU Lei;
SHANG Jingfu
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v2i1.258
The reliability of power generation system with wind farm is evaluated based on Monte-Carlosimulation, and in the reliability assessment the randomness of wind speed and power load, failure rate ofwind turbine generator(WTG) and conventional generator are take into account. Monte-Carlo simulationused in power generation system with wind power need large sample size and has low efficiency. So thispaper proposes an improved Monte Carlo method (IMC) based on the combination of Latin HypercubeSampling and Cholesky decomposition, this IMC method is effective to improve sample values coverage ofrandom variables input spaces and the sampling efficiency. The calculation and analysis of improvedIEEE-RTS 79 reliability test systems show that the proposed Assessment algorithm is effective.
Power Quality Improvement Using Unified Power Quality Conditioner Based On Particle Swarm Optimization
Ragavan Saravanan;
P.S. Manoharan
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v2i1.259
A unified power quality conditioner (UPQC)to compensate current and voltage power quality problems ofsensitive loads. The UPQC consists of a shunt and series inverter having a common dc link. The shunt inverter eliminates current harmonics originating from the nonlinear load side and the series inverter mitigates voltage sag/swell originating from the supply side. The developed controllers for shunt and series inverters are based on an enhanced phase-locked loop and nonlinear adaptive filter. The proposed UPQC achieves superior capacity of mitigating the effects of voltage sag/swell and suppressing the load current harmonics under distorted supply conditions.Particle swarm optimization is discussed for its character of simple computation and high measurement accuracy. Simulation results are shown to verify the effectiveness and superiority of thealgorithm.
Theoretical Analysis on Interferometric Noise in Bidirectional WDM-PON Transmission
Joni Welman Simatupang
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v2i1.260
In this paper, theoretical analysis on interferometric noise caused by RB and FR in bidirectional single-fiber single-wavelength transmission over the conventional and long-reach WDM-PON is presented. Conventional WDM-PON takes place in access networks, usually for 20 km transmission distance without node amplification. However, for long-reach WDM-PON which is deployed for 100 km or beyond, optical amplification is an indispensable solution to enhance the power budget and prevent fiber nonlinearities that happening in the high power level. However, optical amplifier in long-reach WDM-PON might cause the RB and FR effects worse compare with their effects in conventional ones. It is due to the nature of re-amplification and re-modulation feedback of backscatter and back-reflection lights which existed at the preceding and following of optical amplifier or remote node gain.