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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 :
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Articles 90 Documents
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Search results for , issue "Vol 11, No 9: September 2013" : 90 Documents clear
Large-scale Networked Multi-axis Control solution using EtherCAT and Soft Logic Zhiyuan Cheng; Qing Ma; Minqi Yan; Yu Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Aiming at the deficiencies of the traditional multi-axis control solution such as complex networked structure, poor clustered-control feature and unsatisfactory engineering practicability, the paper firstly optimized the existing solution in networked fieldbus, controller model, engineering reliability and maintainability. Then it proposed a novel solution combined high speed real-time EtherCAT (Ethernet for control Automation Technology) fieldbus with soft logic controller. The new solution took advantage of extraordinary real-time performance of EtherCAT and made good use of powerful clustered-control architecture of soft logic controller. Thus the new solution is concise and effective to solve the Large-scale networked controlling problem of 1100 distributed motors. Compared with the traditional schemes, the engineering practice shows that the novel solution has the advantage of perfect real-time performance, powerful clustered-control capability, flexible and variable networked structure, excellent engineering practicability.The novel solution is worth using for reference in solve similar large-scale networked controlling problems. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3271 
Motor Fault Diagnosis Based on Wavelet Transform Lijun Wang; Huijuan Guo; Shenfeng Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The wavelet transform theory is used to motor fault diagnosis in this paper, considering its characteristics of multi-resolution and stronger feature extraction ability than Fourier. The paper emphasizes de-noising and eliminating the singular value point of the wavelet transform in the non-stationary signal. And it makes a detailed and in-depth analysis about how to detect the frequency components of weak signal by using equivalent power spectrum of reconstruction signal, which is acquired by using the wavelet transform. Through the comparison analysis of the simulation signal and motor vibration signal’s experimental data, the corresponding energy of original signal’s equivalent power spectrum and reconstructing signal’s equivalent power spectrum are compared to determine the fault frequency, so as to accurately find out the motor fault. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3288 
A Wireless Greenhouse Monitoring System Based on Solar Energy Liai Gao; Man Cheng; Juan Tang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

To resolve the problems of complicated cabling and costly wired network in the current system, we designed a wireless greenhouse monitoring system based on ZigBee and GSM technology.  The system consists of two parts: a wireless sensor network and remote control terminal. According to parameters distribution in the monitoring regional, a wireless transmission network was formed, all of the node in the network using solar power. In the remote control terminal, the study developed a simplified expert decision system, in which the part of greenhouse control decision adopts the fuzzy decoupling control algorithm to realize the temperature and humidity decoupling control and increase the accuracy of decision-making.According to the experimental test, the monitoring system can run well under the conditions in northern China greenhouses. It can realize real-time, accurate monitoring and collecting of parameters data in the greenhouse environment; the remote control terminal can give effective decision management solutions. Our future work will mainly be solar photovoltaic panel servo system and image transmission. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3305  
Decreasing Dissemination of Disturbances within Network Systems by Neural Networks Olga V. Fridman; Alexander Ya. Fridman
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

We apply neural networks to locate initial sources of disturbances in network systems during coordinating them by a gradient coordination technique based on the earlier proposed necessary and sufficient coordinability conditions for locally organized hierarchies of dynamic systems. Thus we restrict spread of disturbances and save resources spent for maintaining of the system. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.2903
Restoration of Transient Electromagnetic Signal Based Incremental Wiener Filter Haiming Yan; Guofu Wang; Faquan Zhang; Jincai Ye
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Duo to the effect of receiving antenna, there is a certain deviation between the transient electromagnetic signal and the observation signal outputted from receiving antenna, leading to large blind areas in the shallow exploration of TEM. In order to improve the distortion of the outputted signal, the algorithm of deconvolution based on incremental wiener filter is proposed to recovery the signal in this paper. The influence of receiving antenna to transient electromagnetic signal is eliminated, and the optimum estimated is obtained after the algorithm is applied to realize the deconvolution of observation signal. Theoretical analysis and experimental results show that: compared with traditional damping matching method, the recovery signal by the algorithm has a better approximation to the theoretical signal, a higher resolution in shallow exploration, and the damping state of antenna has no influence on the recovery signal. It is of importance for improving transient electromagnetic shallow exploration. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3249
A Shearlets-based Edge Identification Algorithem for Infrared Image Rui-bin ZOU; Cai-cheng SHI
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

A shearlets-based edge identification algorithem for infrared image is proposed. The algorithem demonstrates the performance of edge detection based on shearlets, combines with the edge hysteresis thresholding, designs steps of edge detection, which is proper to use in infrared images.Simultaneously, with the advantage of edge geometric features provided by the shearlets, infrared image were extracted the direction information of edge of Infrared image, and classified. In computer simulations with this method for infrared image,simulation results conformed to the theory on edge detection based on shearlets. It drew the outline of edge for infrared image, and provided the edge orientation feature. The method is very eventful for target detection, identification, track in infrared image system. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3266
A Method of Multi-channel Data Acquisition with Adjustable Sampling Rate Su Shujing; Lei Jiansheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Sampling rate of current signal acquisition systems are singular. Aiming at this shortcoming, a method of multi-channel data acquisition(DAQ) with adjustable sampling rate is presented. The method realizes the cut-off frequency of anti-aliasing filter controlled by program with the help of switched-capacitor; by independently pulsing sampling signal of different ADCs, 16-channel sampling rate are adjustable within the range 50ksps, 25ksps, 10ksps, 5ksps, 1ksps. Theoretical analysis and experimental verification pointing at the proposed method are implemented: theoretical analysis shows that parameters of the filter meet the design requirements; experimental results show that cut-off frequency of the anti-aliasing filter matches variable sampling rate very well; choosing appropriate sampling rate according to the characteristics of the measured signal not only can well restore the measured signal, but also prevents system resources from waste. This method can meet needs of testing various signals with different frequency at the same time. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3283 
Small Price Index of College Students Based on EEG ShuLi Huang; ZhenDong Mu; HuaLiang Wu; HuaBo Xiao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Study of consumer psychology and consumer price index usually used questionnaire method; this method is very good at solving the macro problem, however, to specific numerical value index, used questionnaire method is difficult to determine, and there is always a certain doubt about the correctness of the results what used questionnaire method. Because of EEG can be true reflection of the true psychological characteristics of the subjects, the paper selects EEG analysis tool as the consumer price index. Subjects tested with the different combination of the different quantity of money, processed and analysis this three sets of subjects EEG data, by analyzing the time and amplitude of the N170 and P300 to study college students in the daily life of the small consumer index. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3299
Singularity Detection of Magnetic Memory Signal of Steel-Cord Conveyor Belt Qiao Tiezhu; Li Xiaolu; Zhang Xueying
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Metal magnetic memory technology was an important method for detecting the steel-cord conveyor belt early fault, characteristics of magnetic memory signal extraction is critical for judging of the conveyor belt failure. Generally using of magnetic memory signal maximum gradient value can quickly judge the stress concentration zone, but the magnetic memory signal is susceptible to effected by environmental and noise; In view of the weak and non-stationary characteristics of magnetic memory signal, this paper has proposed the singularity detection method based on wavelet transform modulus maximum for metal magnetic memory signal, the method could exactly judged the stress concentration zone of joints and located the fault points of the steel-cord belt, the characteristic gradient of magnetic memory signal and the Lipschitz exponent were extracted. The result of simulation indicated the technology was effectively for judging the stress concentration zone and fault point. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.2866
The Predictive Control Method of VAV Air Conditioning System Jiejia LI; Xiaofeng LI; Yang CAO
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Aiming at the characteristics which variable air volume air conditioning system is multi-variable, nonlinear and uncertain system, normal fuzzy neural network is hard to meet the requirements which dynamic control of multi-variable. In this paper, we put forward a recursive neural network predictive control strategy based on wavelet neural network model. Through recursive wavelet neural network predictor on line established controlled object’s mathematical model, and using Elman neural network controller on line corrected information we get, thus to improve control effect. The simulation results show that recursive wavelet neural network predictive control has stronger robustness and adaptive ability, high control precision, better and reliable control effect and other advantages. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3244

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