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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 80 Documents
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Search results for , issue "Vol 11, No 4: April 2013" : 80 Documents clear
Probes Vacillating and Mapping Technique at Testing Micro-area Sheet Resistance Zhihui Zhu; Xinfu Liu; Runli Zhang; Ruqing Zhang; Nan Jiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This article briefly elaborated the basic concepts of the probe vacillated at testing a large silicon wafer with square four point probe equipment. The importance of the micro-area’s sheet resistance is discussed and the basic principles of four point probe measurement technology are analyzed. Some factors that affect the measurement accuracy are studied, and interference can be avoided while measuring and analyzing the impact on square four point probe measurement by probe vacillate. The calculation formula of the square micro-area probe measurement is deduced when probes vacillated discretionarily. An experiment was made with a small wafer sample and accurate resistivity was gotten. The electrical resistivity is tested for another silicon wafer by a square four point probe equipment. Color Mapping graphics was designed for displaying  the micro-area resistance. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2338
Genetic Algorithm and Its Application in Scheduling System Jian Ni; Ning-Ning Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the development of education and college expansion and consolidation in the Educational Management System Course Scheduling System has become more complex, and therefore necessary to design one for development, and reuse. Given this situation, this paper proposes a solution based on genetic algorithm. The results show that genetic algorithms can effectively solve the course timetabling problem. This method is easy to learn and apply, and do not rely on a special mode. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2365
Design and Realization of Teaching Demonstration System Based on .Net Ailian Wang; Jinfei Ma; Yueming Qin
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to realize the systematic planning for teaching demonstration, this article proposed a teaching demonstration system based on .Net. The system adopted the techniques of Windows forms and serialization, Windows tree controls and the type and level of algorithm, component interface, advanced realization of windows graphics device interface, graphics drawing application programming interface, object link embedded, platform/assembly technology based on SOA, and was applied successfully in the development of the project, providing an effective method for informatization teaching. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2381
Single Phase Permanent Magnet Low Speed Synchronous Motor Gao Lianxue; Sun Diansheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to acquire a better cognition to the single phase permanent magnet low speed synchronous motor and validate the correctness of the motor mathematical model, the performances of the motor are tested with the single phase permanent magnet low speed synchronous motor whose type is 70TDY4, the corresponding simulations are done too. The resistance and the inductance of the single phase permanent magnet low speed synchronous motor are measured. According to the data of experiments and simulations, the static characteristics of the single phase permanent magnet low speed synchronous motor with the changes of the phase shift resistance and the phase shift capacitance are analysed, the results of experiments and simulations prove the correctness of the mathematics model. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2396
The Electric Vehicle Lithium Battery Monitoring System Lei Lin; Yuankai Liu; Wang Ping; Fang Hong
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the global increase in the number of vehicles, environmental protection and energy issues had become increasingly prominent. People paid more and more attention to the electric vehicle as the future direction of the vehicle, but because the battery technology was relatively backward, it had become the bottleneck in the development of electric vehicles. So in the existing conditions, a perfect battery Monitoring technology had become more and more important. This paper firstly analyzed the characteristics of lithium battery residual capacity and effect factors, then put forward to a set of solutions according to the actual situation. The solution of the lithium battery Monitoring system adopted distributed structure, including detection of voltage, current, temperature and measurement module and the realization of monomer battery equalizer module. Using a single bus device DS2438 produced by DALLAS on the battery voltage, current, temperature, power and other parameters, the system controlled DS2438 by the STC89C52 single-chip in data acquisition. Then it used the algorithm to predict state of charge(SOC) and displayed the battery status in the LCD1602. This solution of the lithium battery Monitoring system  was reliable, economy, strong anti-interference ability. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2545
Combination of Fault Tree and Neural Networks in Excavator Diagnosis Li Guoping; Zhang Qingwei; Ma Xiao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

By using the theory of artificial intelligence fault diagnosis of hydraulic excavator of several basic problems are discussed in this paper, the artificial intelligence neural network model is established for the fault diagnosis of hydraulic system; the combined application of fault diagnosis analysis (FTA) and artificial neural network is evaluated. In view of the hydraulic excavator failure symptom of dispersion and fuzziness, the fault diagnosis method was presented based on the fault tree and fuzzy neural network. On the basis of analysis of the hydraulic excavator system works, the fault tree model of hydraulic excavator was built by using fault diagnosis tree. And then, utilizing the example of hydraulic excavator fault diagnosis, the method of building neural network, obtaining training samples and neural network learning in the process of intelligent fault diagnosis are expounded. And the status monitoring data of hydraulic excavator was used as the sample data source. Using fuzzy logic methods the samples were blurred. The fault diagnosis of hydraulic excavator was achieved with BP neural network. The experimental result demonstrated that the information of sign failure was fully used through the algorithm. The algorithm was feasible and effective to fault diagnosis of hydraulic excavator. A new diagnosis method was proposed for fault diagnosis of other similar device. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2333
Mixed Programming Realization of the EMD-WVD Combined Method Miaozhong Sun; Hongtao Tang; Yuanli Xu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Winger-Ville Distribution (WVD) possesses high time-frequency concentration and resolutions, but brings serious cross-terms in process of a multi-component signal to distort greatly the result of time-frequency analysis. Because of this the use of the WVD is limited for many applications. In this paper a combined method is proposed: Empirical Mode Decomposition (EMD) is first used to decompose the original signal into a series of Intrinsic Mode Functions (IMFs), then false IMFs among them are eliminated according to the correlation coefficients between each IMF and the original signal, WVD is utilized to analyze the remanent IMFs, finally each WVD is added linearly with together to reconstruct the whole WVDs of the original signal. In order to carry out and validate the combined method, a time-frequency analytic system is designed and realized by using MATLAB and Delphi mixed programming based on COM (Component Object Model) module technology. This system is used to perform vibration signal time-frequency analysis of a grinding machine. The analytic results show validity of the combinedl method and success of the mixed programming. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2360
Multivariable Predictive Control of the Main Steam Temperature in Power Plant Wang Ting; Feng Xiaolu; Chen Jiangtao; Zhang Rong; Xu Wei
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper aims at the problems existing in the cascade Proportional Integration Differential (PID) control of the main steam temperature system in power plants nowadays, such as large dynamic deviation, poor load adaptability. etc. The two multivariable model predictive controllers are designed and applied to control the second stage desuperheater inlet temperature and the main steam temperature, respectively, which is aimed by the simulation platform for 200 MW unit. The controlled object of the main steam temperature is simulated, and both predictive control and cascade PID control strategies are designed to control the object. The results of the stimulation experiments have shown that the predictive controller is superior to the traditional cascade PID controller in dynamic deviation and load adaptability of main steam temperature in power plant. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2376
Novel Design for Direct Torque Control System of PMSM HUANG Xu-chao; LIN Rong-wen
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Nowadays, with the rapid development of high-performance servo system, The conventional permanent magnet synchronous motor (PMSM) Direct Torque Control (DTC) system has large torque ripple in low speed which cannot be well adapted to today`s development. The main reason is because the number of voltage vectors provided by the two-level inverter is only six and the relationship between voltage vector and torque is not clear[1-5.10-12]. In this paper, the basic concept of direct torque control of permanent magnet synchronous motor is investigated in order to emphasize the effects produced by a given voltage vector on stator and torque variations in this paper. Modified the voltage sector switching table, a novel DTC scheme for the permanent magnet synchronous motor is proposed which is using a novel three-level inverter. An improvement of the drive performance can be obtained by using the novel DTC scheme. The simulation results showed that the scheme could reduce the torque ripple in low speed and improved the stability of the motor under the condition of keeping the system dynamic performance. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2391
DMC Based on Weighting Correction of Predictive Model Errors Liu Yumin; Sun Yonghe; XU Fengming; Wang Tao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Ordinary dynamic matrix predictive control (DMC) correct predictive value only using current error, so the correction is not enough. This paper proposes an algorithm. In error correction, it introduces predictive model error and predictive value are weighting corrected to improve the capability of resisting disturbance and regulating speed of the control system. By theoretical analysis and simulation, it has been proven that the algorithm is effective. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2428

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