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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,199 Documents
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Fan Fault Diagnosis Based on Wavelet Packet and Sample Entropy Xiaogang Xu; Songling Wang; Jinlian Liu; Zhengren Wu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

To accurately diagnose the mechanical failure of the fan, two diagnostic methods based on the wavelet packet energy feature and sample entropy feature are proposed. Vibration signals acquisition of 13 kinds of running states are achieved on the 4-73 No.8D centrifugal fan test bench. The wavelet packet energy feature vector of each vibration signal is rapidly extracted through the wavelet packet denoising, decomposition and reconstruction. The vibration signal wavelet packet energy feature vector of the five measuring points in the same instantaneous running state are fused into the fan fault feature vector. Finally, the fault diagnosis of the fan is achieved by using improved SVM (Support Vector Machine) classifier, and the accuracy rate is 94.6%. A new fan fault feature vector is put forward, which is the integration of the vibration signal sample entropy of the five measuring points in the same instantaneous running state, and then the fault diagnosis of the fan is achieved by using improved BP (Back Propagation) neural network, and the accuracy rate is 99.23%. The diagnostic results show that these two methods are able to effectively diagnose the category, severity and site of the fan mechanical failures, and suitable for online diagnosis. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2722
An Equivalent Electrode System for Efficient Charging of Filtration Media Mohamed Anwar Abouelatta; Abdelhadi R Salama
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 3: September 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i3.pp646-654

Abstract

This paper concerns the influence of moving an auxiliary limiting cylinder in X-Y directions on the electrostatic field and corona onset voltage of the dual electrode system employed in the electrostatic filtration process resulting in a “Tri-electrode” system. The Tri-electrode system is applied in order to control the field around the ionized wire and on the ground plate. Accurate calculation of the electrostatic field is obtained using the charge simulation method coupled with genetic algorithms. The calculated field values are utilized in computing the corona onset voltage of the ionized electrode. Laboratory measurements of the onset voltage of the ionized electrode are applied. It is found that the limiting cylinder controls the onset voltage of the ionized wire such that the ionized wire may be in ionized or non-ionized state without changing the position of the ionized wire itself. The numerical onset voltage values agreed satisfactorily with those measured experimentally. 
Clustering Analysis Based on Chaos Immune Algorithm Wu Yanbin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

To improve the accuracy of clustering classification, the Chaos Immune Algorithm was proposed. In this algorithm, the ergodic property of chaos phenomenon is used to optimize the initial population, so it can accelerate the convergence of Immune Algorithms. Chaotic systems are sensitive to initial condition system parameters. Through the clone selection operator, antibody circulation and supplement, Clone operator and excellent individual chaotic disturbance, local optimums were avoided, so the global optimization was obtained. As for this issue, chaotic immune algorithm, ALECO-2, BPMA and BP algorithm were applied to test the algorithm performance in two group experiments. Theory and experiment showed that the Chaos Immune Algorithm can get global optimum clustering center, and greatly improve the amplitude of operation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4426
Daily predictions of solar radiation utilizing genetic programming techniques Rahima Ummi Kulsum Nadya; Ali Najah Ahmed; Abdoulhdi A. Borhana; N. A. Mardhiah; Amr El-Shafie; Ahmed El-Shafie
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i2.pp900-905

Abstract

The solar radiation prediction in Kuala Terengganu located in Terengganu, Malaysia was investigated in this study to improve the solar system design. Solar radiation data and number of parameters such as solar radiation, temperature, humidity, wind speed and sunshine hours were obtained from Malaysian Meteorological Malaysia MMD. In order to predict the solar radiation, Genetic Programming Techniques (GP) models were develop and tested. Two scenarios were considered in this study in order to validate the efficiency of the proposed model. Coefficients of determination (R2) for the solar radiation during training and testing phases were ranged between 0.99402 to 0.98934 for all months of the year. This study confirms the ability of GP to predict solar radiation values precisely and accurately. The predictions from the GP models could enable scientists to locate and design solar energy systems in Malaysia.
A control strategy on power quality improvement in consumer side using custom power device D Danalakshmi; Srinivas Bugata; Kohila J
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i1.pp80-87

Abstract

At a recent time voltage distortion is one of the foremost power quality problem at all level of power system. Power electronic controllers like various filtering technology have been used for more desirable solution of power quality problems to users. But still there is a voltage and frequency deviations problem in the power system leads to reduce in quality of power and thereby reduce the life of consumer equipment. To overcome this drawback and protects the sensitive loads from power quality problems, custom power devices are used. Among various custom power devices, Dynamic voltage restorer (DVR) is an ultimate solution to address the voltage correlated power quality problems. DVR is a usual three phase inverter which transforms DC to AC and vice-versa using DC link capacitor. Whenever utility is distorted by voltage correlated faults, DVR is dynamic and it shields the load from utility distortions. Whenever distortion arises, the control strategy for the DVR plays significant role to make the DVR in active condition. Among all control strategies, Synchronous reference frame theory is simple and suitable for DVR. The DVR topology is verified and validated using SIMULINK/MATLAB.
Gabor-HOG Features based Face Recognition Scheme Hamid Ouanan; Mohammed Ouanan; Brahim Aksasse
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp331-335

Abstract

Extraction of invariant features is the core of Face RecognitionSystems (FRS). This work proposes a novel feature extractor-fusion scheme using two powerful feature descriptor known as Gabor Filters (GFs) and Histogram of Oriented Gradient (HOG), which the face image is filtered with the multiscale multiresolution Gabor filter bank to generate multiple Gabor magnitude images (GMIs), then the down-sampled GMIs and apply Histogram of Oriented Gradient to form the features. The experimental results on the FERET face database show the effectiveness of our methods.
Mitigation of Magnetic Field under Double-Circuit 220kV Overhead Transmission Line Osama Elsayed Gouda; Adel Z. El Dein
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 8: December 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper studies the effect of various mitigation loop configurations namely: single horizontal mitigation loop (two conductors), two separate horizontal mitigation loops (four conductors) and single vertical mitigation loop (two conductors), on the magnetic field produced by 220kV double-circuit overhead transmission line. Also, in this paper a further reduction in the magnetic field is achieved by inserting properly-selected capacitors within these mitigation loops. The obtained results indicate that the reduction in the magnetic field by using these mitigation loops largely depends on the arrangements and the locations of these loops with respect to the conductors of 220kV double-circuit overhead transmission line. DOI: http://dx.doi.org/10.11591/telkomnika.v10i8.1521
A Reliability Evaluation of High Speed Railway Traction Substation Based on the GO-FLOW Methodology Li Liang; Feng Zhao; Sihua Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp4954-4962

Abstract

In order to assure the uninterrupted power supply of high speed railway, the reliability assessment of traction substation is essential at the design stage. Based on the system reliability engineering theory, a new system reliability analysis method called the GO-FLOW methodology is applied in the reliability assessment of traction substation of high speed railway. Considering failure and dynamic characteristics over time of the components and shutdown correlation of electrical equipments in substation, on the analysis of the traction power supply system, the GO-FLOW chart of traction power supply system is established by taking the uninterrupted power supply as its target. Their operators signal flows and operation rules are analyzed. Then, the quantitative and qualitative assessment of reliability are realized, the weakness of system is determined. Thus, the reliability evaluation of high-speed railway traction power supply system is completed.
The Electric Vehicle Power Design and The Matching Characteristics Analysis of The Transmission System Lei Zhang; Guili Hao; Xiumin Yang; Chunyang Zhou
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

According to the requirements of the performance parameters of chongqing lifan E520 cars, electric vehicles with pure mechanical electronically controlled continuously variable transmission (CVT) were designed and developed. The power function of traction motor was designed firstly. According to the vehicle performance and motor parameters, matching parameters of CVT were calculated and confirmed. The parameters of maximum speed, acceleration time and gradeability of CVT were analyzed and compared. The parameters of the battery pack were designed according to the acceleration capability of electric vehicles, continued driving mileage. Currently, the electric vehicles equipped with pure mechanical electronically controlled CVT have passed the bench test and loading operation. These have proved that the dynamic design and driveline matching design in this paper were correct and achieved a predetermined operating performance and power performance indicator. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3801
A Fast-Efficient parallel processing algorithm for straight line detection Rasiq S. M.; Jeevan K. M.; S. Krishnakumar
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1320-1326

Abstract

This work presents a novel method for detecting straight lines in an image at a very high speed with optimum number of processors and their functionalities. The method can be used to extract straight lines directly from an image without noise removal and pre-processing. First the square image is converted to a binary edge image using a parallel edge detection mechanism. The parallel edge detection mechanism used in this work is capable of producing edge image within a short time. Then the binary square image is transferred to a system having large number of Processing Elements (PEs). A PE has only limited jobs such as pixel scanning, compare line length with nearby PEs and transmit data to the Main Control Unit (MCU). The MCU collects data from all PEs and evaluates straight lines. Even if the number of PEs is high, it is comparatively very much less than the parallel Hough Transform method and practically implementable using recent ULSI technologies.

Page 395 of 920 | Total Record : 9199

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