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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
 371   372   373   374   375 
Design on the HCB Based on IGCT and Neural Network Current Detection Yue Feng; Xiao-dong Wang; Yang Zhao; Yun-xia Jiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Nowaday,the traditional circuit breaker is which action slow, poor reliability, can not meet Large grid interconnection and flexible AC transmission requirements. To address those shortcomings of traditional circuit breaker,an idear is put forward that traditional mechanical circuit breaker combinates of power electronic switch-IGCT to build a new type of hybrid circuit breaker device (Hybrid Circuit Breaker shorted at HCB). Basing on natural converter circuit principles,when grid line failure,the novel device adopts Elman neural network to detect short-circuit fault current,can disconnect quickly by IGCT’s rapidity to ensure the safety of the power grid and improve switching speed and service life of the mechanical switch. It has a very important significance in fast switching of power system. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3130
Fault classification on transmission line using LSTM network Abdul Malek Saidina Omar; Muhammad Khusairi Osman; Mohammad Nizam Ibrahim; Zakaria Hussain; Ahmad Farid Abidin
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 1: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i1.pp231-238

Abstract

Deep Learning has ignited great international attention in modern artificial intelligence techniques. The method has been widely applied in many power system applications and produced promising results. A few attempts have been made to classify fault on transmission lines using various deep learning methods. However, a type of deep learning called long short-term memory (LSTM) has not been reported in literature. Therefore, this paper presents fault classification on transmission line using LSTM network as a tool to classify different types of faults. In this study, a transmission line model with 400 kV and 100 km distance was modelled. Fault free and 10 types of fault signals are generated from the transmission line model. Fault signals are pre-processed by extracting post-fault current signals. Then, these signals are fed as input to the LSTM network and trained to classify 10 types of faults. The white Gaussian noise of level 20 dB and 30 dB signal to noise ratio (SNR) is also added to the fault current signals to evaluate the immunity of the proposed model. Simulation results show promising classification accuracy of 100%, 99.77% and 99.55% for ideal, 30 dB and 20 dB noise respectively. Results has been compared to four different methods which can be seen that the LSTM leading with the highest classification accuracy. In line with the purpose of the LSTM functions, it can be concluded that the method has a capability to classify fault signals with high accuracy.
Fluctuations Mitigation of Variable Speed Wind Turbine through Optimized Centralized Controller Ali Mohammadi; Sajjad Farajianpour; Saeed Tavakoli; S. Masoud Barakati
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 4: August 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

A wind energy conversion system (WECS) including a variable wind turbine in grid-connected mode is considered to control. In this paper, each component of WECS model is systematically presented and then the integrated overall model is validated.Regarding to nonlinear nature of WECS and the complex system structure as multiple-input- multiple-output (MIMO),control procedure counters the problem which strategy to handle.To simplify the control policy, a centralized controller which is compatible with systematic modelling introduced, is employed. In other hand to augment the centralized controller performance, an optimization based on genetic algorithm (GA) is accomplished. Simulation results demonstate the proper efficiency in fluctuations mitigation. DOI: http://dx.doi.org/10.11591/telkomnika.v10i4.854
Secure Digital Certificate Design Based on the Public Key Cryptography Algorithm Zhang Qi ming
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the popularity of the Internet, more and more people choose online shopping, however, in the case of lacking security measures, there is a great deal of risk on the Internet. to this situation,In response to this situation, this paper presents a digital certificate based on the X.509 standard. This paper uses the C language generation public key algorithm (RSA). Realization of the digital certificate registration, verification and certificate generation process,the identity of certification users can be verified and provide proof of identity on the Internet transactions, reducing the transaction risks greatly, ensuring the user's property and interests are not infringed. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3824
An Empirical Analysis on the Relationship between Logistics industry and Economic development of Henan Province Yu-ping Chu; Jie-jie Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In view of modern logistics industry in economic development playing an increasingly important role, in order to explore the relationship between logistics industry and economic development of Henan province, this paper selects its relevant data of 1990-2010, establishing econometric model, quantitatively studying the relationship between economic development and its logistics industry, in the end we draw conclusions with logistics industry leading to a significant contribution to the economic development of Henan Province.  According to the conclusion, we can be more effective in considering the status of logistics industry in the economic development of the Henan Province, providing basis which related with decisions making for logistics policy. Finally, we make corresponding suggestions according to the conclusions. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2067
Continuous Attributes Discretization Algorithm based on FPGA Guoqiang Sun; Hongli Wang; Xing He; Jinghui Lu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The paper addresses the problem of Discretization of continuous attributes in rough set. Discretization of continuous attributes is an important part of rough set theory because most of data that we usually gain are continuous data. In order to improve processing speed of discretization, we propose a FPGA-based discretization algorithm of continuous attributes making use of the speed advantage of FPGA. Combined attributes dependency degree of rough ret, the discretization system was divided into eight modules according to block design. This method can save much time of pretreatment in rough set and improve operation efficiency. Extensive experiments on a certain fighter fault diagnosis validate the effectiveness of the algorithm. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2811 
Toward an Effective Combination of multiple Visual Features for Semantic Image Annotation B. Minaoui; M. Oujaoura; M. Fakir; M. Sajieddine
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp533-543

Abstract

In this paper we study the problem of combining low-level visual features for semantic image annotation. The problem is tackled with a two different approaches that combines texture, color and shape features via a Bayesian network classifier. In first approach, vector concatenation has been applied to combine the three low-level visual features. All three descriptors are normalized and merged into a unique vector used with single classifier. In the second approach, the three types of visual features are combined in parallel scheme via three classifiers. Each type of descriptors is used separately with single classifier. The experimental results show that the semantic image annotation accuracy is higher when the second approach is used.
HABs monitor: A tool for detecting HABs in East China Sea Chen Zeng; Huiping Xu; Hexia Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: January 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper designs and develops a tool for detecting HABS from ENVI+IDL+ArcEngine.  With a friendly and artistic interface offered by third party control, this tool provides a function of HABs monitoring in East China Sea via Remote Sensing Images inversion.  Through rows of buttons on the menu bar, this tool allows calculating spectrum reflectance, browsing field work data, interpolating in situ measurement data, retrieving water property parameters, and detecting HABs position by the threshold of chlorophyll-a and sea surface temperature.  Data management module programmed in Structured Query Language (SQL) in our tool simplifies the data process and stores a large amount of information.  This paper elaborates the original design, functional modules, and multi data sources that gives a general view toward this tool. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1881
Hydraulic Motor Driving Variable-Pitch System for Wind Turbine Ye HUANG; JiBao QI
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

The present hydraulic variable-pitch mechanism of wind turbine uses three hydraulic cylinders to drive three crank and connecting rod mechanisms respectively; the blades are moved with the cranks. The hydraulic variable-pitch mechanism has complex structure, occupies a lot of space and its maintenance is trouble. In order to make up for the shortcomings of hydraulic cylinder variable-pitch system, the present hydraulic variable-pitch mechanism should be changed as follows: hydraulic motors are used to drive gears; gears drive blades; the electro-hydraulic proportional valves are used to control hydraulic motors. The hydraulic control part and electrical control part of variable-pitch system is redesigned. The new variable-pitch system is called hydraulic motor driving variable-pitch system. The new variable-pitch system meets the control requirements of blade pitch, makes the structure simple and its application effect is perfect.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3494
Bi-Level Multi-criteria Multiple Constraint Level Optimization MODELS and Its Application Lei Zhao; Liehui Zhang; Yihua Zhong; Yilin Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Because oil field development system is a large hierarchical and uncertain system, this paper uses the theory of bi-level programming and multi-criteria multiple constraint level  to formulate a new oilfield measure structural optimization model which is bi-level multiple objectives and multiple constraint level nonlinear programming, and present a new method to solve the bi-level programming whose lower is multiple objectives nonlinear programming, whose upper is linear programming. The result of this model not only may feed back to the comprehensive information of measures output distribution optimization to decision-makers as a whole, but also can provide decision makers oil field exploitation contingency planning to deal with changed resource constraint level. The case study shows that the result fitting calculation by the model is coincide with the historical data of oil field, the model is correct and effective. Moreover this research may provide a reliable new method for oil field development optimal decision-making. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2558

Page 373 of 920 | Total Record : 9199

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