Xin Wang
China University of Mining and Technology

Published : 6 Documents
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STUDY ON RELIABILITY AND LIFETIME PREDICTION OF HIGH POWER LEDS Pan, Kailin; Guo, Yu; Zhu, Weitao; Wang, Xin; Zhou, Bin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the rapid development of semiconductor lighting technology, the LED will gradually replace the traditional lighting to be the lighting market-led. However, the reliability life of LED products is the key to restrict its development. For further study on the reliability in this paper, the stress accelerated test was adapt to explore the reliability of LED, meanwhile, the failure of failure devices in the test was analyzed, and to study the correlation between the contact thermal resistance change of the LED device structure and the light fades. The finite element software was applied to simulate the work load impact on LED, and the corresponding changes in the internal structure was analyzed as well , then the establishment of the internal structure of the strain and thermal resistance were built . Ultimately, a method which is significant to short the cycle of the LED life prediction was proposed based on the ANSYS simulation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4415
MULTIPLE-INPUT SINGLE-OUTPUT WIRELESS POWER TRANSMISSION SYSTEM FOR COAL MINE Zhao, Duan; Ding, Enjie; Wang, Xin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In Wireless Power Transmission (WPT) systems, the proportion of energy received by the load is critical and the efficiency is the more significant parameter. The magnetic multiple input algorithms as well as many multiple overlapping coils structures in the transmitter side are proposed for the coal mine Internet of the Things (IOT) nodes. Different phase shifts cases for the input signal were considered to study their effect on the efficiency. Simulation results showed that the axial component of magnetic induction resulted from the multiple overlapping coils structure has preferable homogeneous distribution over the traditional single input coil. The proposed system achieved an efficiency value of 60 % for a receiver placed 40 cm away from a 4 coils transmitter comparing to an efficiency value of 50% for the same distance using a single coil transmitter. Simulation results shows that the proposed model is well adapted for the movable charging mode for the IOT nodes in coal mine. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5439
SELECTION AND SIMULATION OF ELECTRIC STEERING GEAR CONTROL SYSTEM Wang, Xin; Yao, Jun
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

For the electric steering gear control systems, the principle of the system is introduced. Specific model and parameters are selected to deduce the optimal combination of control system and choices method of the steering system model is determined. The transfer function of motor according to the parameters is achieved and simulation results are gained based on MATLAB. Simulation results show that this method can meet the performance requirements of electric steering gear, the control method is simple and easy to work to achieve. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2643
PREDICTION OF ELECTRIC POWER CONSUMPTION BASED ON THE IMPROVED GM(1, 1) Wu, Zhengren; Liu, Mei; Wang, Xin
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

Based on the electric power consumption data in 2001-2010, this paper discusses GM (1, 1) model and its improved model in the application of power consumption forecasting. Due to the traditional Grey Model itself has certain defects, we grouped the original sequence according to the degree of deviation first, and then combined with nonlinear GM (1, 1, ?) to improve the traditional GM (1, 1) model. Through the relative error testing and the posterior testing, this paper made a comparative analysis to the traditional GM (1, 1) model and the improved GM. Example of Beijing shows that the improved model had good accuracy; it had a good application value in the actual prediction system. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3104
INDUSTRIAL ELECTRICAL ENERGY EFFICIENCY RESEARCH BASED ON DEA OPTIMIZATION MODEL Zhao, Jianna; Wang, Xin
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

Traditional DEA does not take into account the environmental variables when analysis the electrical energy efficiency. In order to weigh the objective and subjective factors? impact on industrial electrical energy efficiency , this paper attempts to analyze the China's  2011 industrial electrical energy efficiency step by step using DEA optimization model. The results showed that, electrical energy efficiency value in considering the case of environmental factors was increased , effect of the external environment on electrical energy efficiency indeed have a significant impact, On these analysis, the paper proposed some feasible recommendations like increasing the scale of industrial energy utilization, eliminating monopolies as soon as possible, allocating the science and technology funding actively and feasibly DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4454
Synthesis, Structural Characterization, and Catalytic Property of A Zn(II) Complex with 5-Bromosalicylaldehyde Ligand Tai, Xi Shi; Li, Peng Fei; Wang, Xin; Liu, Li Li
Bulletin of Chemical Reaction Engineering & Catalysis 2017: BCREC Volume 12 Issue 3 Year 2017 (SCOPUS and Web of Science Indexed, December 2017)
Publisher : Department of Chemical Engineering - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.343 KB) | DOI: 10.9767/bcrec.12.3.876.364-369

Abstract

The study on catalytic activity of complex materials has been one of the hot spots in coordination  chemistry. In order to extensively study the catalytic activity of complexes, a new six-coordination Zn(II) complex material, [ZnL2(H2O)2] (C1) (HL = 5-bromosalicylaldehyde), has been prepared with 5-bromosalicylaldehyde, NaOH, and Zn(CH3COO)2·2H2O as raw materials. The structure of C1 was determined by elemental analysis, IR spectra, and single crystal X-ray diffraction. The Zn(II) complex shows a moderate catalytic activity for A3 coupling reaction of benzaldehyde, piperidine, and phenylacetylene with the benzaldehyde conversion reached 54.6 %. Furthermore, the Zn(II) complex catalyst exhibited 54.8 %, 53.8 %, and 54.4 % conversions of benzaldehyde in the second, third, and fourth cycles, respectively.  In addition, the Zn(II) complex features a selectivity of 100 % to the     product of propargylamine for the A3 coupling reaction. Copyright © 2017 BCREC Group. All rights reservedReceived: 25th December 2016; Revised: 10th March 2017; Accepted: 10th March 2017; Available online: 273th October 2017; Published regularly: December 2017How to Cite: Tai, X.S., Li, P.F., Wang, X., Liu, L.L. (2017). Synthesis, Structural Characterization, and Catalytic Property of A Zn(II) Complex with 5-Bromosalicylaldehyde Ligand. Bulletin of Chemical Reaction Engineering & Catalysis, 12(3): 364-369 (doi:10.9767/bcrec.12.3.876.364-369)