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2011 International Conference on Electric Information and Control Engineering最新文献

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Design and implementation of a boost power factor correction stage operated in mixed-conduction mode 混合导通模式下升压功率因数校正级的设计与实现
Pub Date : 2011-05-27 DOI: 10.1109/ICEICE.2011.5777296
Chi-Yu Liou, Hsu-Chih Chieh, W. Liou
This paper focuses on the implementation of a controller-based power factor correction (PFC) boost converter. Both CCM and DCM modes are operated in the mixed-conduction mode with fixed switching frequency. The load condition is determined by detecting the load current. The converter operates in CCM mode when the load is heavy. It switches to the DCM mode when the converter detects the load is light. The measured results show that the proposed dual-mode converter control strategy has good performance in power factor correction and power conversion efficiency.
本文主要研究一种基于控制器的功率因数校正(PFC)升压变换器的实现。CCM和DCM模式都工作在固定开关频率的混合导通模式下。通过检测负载电流来确定负载状态。当负载较重时,变换器工作在CCM模式。当转换器检测到负载较轻时,切换到DCM模式。实测结果表明,所提出的双模变换器控制策略在功率因数校正和功率转换效率方面具有良好的性能。
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引用次数: 9
Thematic information extraction of constructed wetland ecological GIS in mining subsidence area 矿山沉陷区人工湿地生态GIS专题信息提取
Pub Date : 2011-05-27 DOI: 10.1109/ICEICE.2011.5778223
W. Jinhua, Guo Liwen, C. Yanping
With development of the constructed wetland technology and extending of eco-city concept, it is popular that the sustainable evaluation and land reclamation, and is difficult to quantitative assessment in wetland ecological information of subsidence area in mining field. This paper discusses the need of sustainable evaluation and land reclamation and mainly introduces the constructed wetland and ecological management system based on GIS of Tangshan city, which take the COMGIS model. There is a new plan of data organization, which includes spatial data, subsidence information and remote sensing image of the interested region. it is possible to build a visual spatially management platform of GIS for ecological evaluation and land reclamation by means of the combination of graphic data and attribute data, which is advanced platform for land reclamation of mining subsidence and ecological management of assessment and spatial analysis.
随着人工湿地技术的发展和生态城市理念的推广,采矿区塌陷区湿地生态信息的可持续评价和土地复垦日益流行,难以定量评价。论述了可持续评价和土地复垦的必要性,重点介绍了采用COMGIS模型的唐山市基于GIS的人工湿地及其生态管理系统。提出了一种新的数据组织方案,包括空间数据、沉降信息和感兴趣区域的遥感图像。通过图形数据与属性数据相结合的方式,构建了矿区沉陷土地复垦生态评价与土地复垦GIS可视化空间管理平台,是矿区沉陷土地复垦生态评价与空间分析的先进平台。
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引用次数: 0
Study on thermal management for the engine compartment of a rear engine bus based on STAR-CCM+ 基于STAR-CCM+的后置发动机客车发动机舱热管理研究
Pub Date : 2011-05-27 DOI: 10.1109/ICEICE.2011.5777011
Jing Yang, Mingming Fan, Chengqin Ren, Ren-hua Feng
A thermal management model of a rear engine compartment was established with STAR-CCM+.The on-site temperature measurement data were used to calibrate the established model and to demonstrate the validity of the simulation results. Boundary conditions and parameters were then readjusted to match the worst working condition. Flow and temperature fields for this condition were obtained through simulation. Through analysis for airflow distribution in high temperature area, affecting factors and mechanisms on cooling capacity were identified and recommendations for improving compartment structure and layout were put forward.
利用STAR-CCM+软件建立了某型后发动机舱热管理模型。利用现场测温数据对所建立的模型进行了校正,验证了仿真结果的有效性。然后重新调整边界条件和参数以匹配最差工况。通过仿真得到了该工况下的流动场和温度场。通过对高温区域气流分布的分析,确定了影响制冷量的因素和机理,并提出了改进隔间结构和布局的建议。
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引用次数: 2
Numerical simulation study of diesel engine based on new type of crankshaft connecting rod mechanism 基于新型曲轴连杆机构的柴油机数值模拟研究
Pub Date : 2011-05-27 DOI: 10.1109/ICEICE.2011.5777964
Z. Yong, Li Wei-shan, L. Xuan
Diesel engine works under mix combustion (constant volume and constant pressure) with low combustion rate and speed, resulting in its thermal efficiency is lower than the constant volume combustion type at the same compression rate. A diesel engine model with new type of crankshaft connecting rod mechanism which can stay in the TDC for a long time is developed to realize constant volume combustion. The kinematics and thermal simulation of the new engine is carried out by comparing with a 150 type diesel engine. The results indicated that the piston of the new engine could stay at the TDC for approximately 80 crank degrees which can prolong the combustion time at the same engine speed significantly.
柴油机工作在低燃烧速率和低燃烧速度的混合燃烧(定容恒压)下,其热效率低于相同压缩率下的定容燃烧型。为实现柴油机的等体积燃烧,研制了一种具有长时间停留在上止点的新型曲轴连杆机构的柴油机模型。通过与150型柴油机的对比,对新型发动机进行了运动学和热仿真。结果表明,在相同发动机转速下,活塞可在上止点停留约80曲柄度,可显著延长燃烧时间。
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引用次数: 1
Determination of Vapour Pressure of gasoline by double ANN algorithm combined with multidimensional gas chromatography 双神经网络结合多维气相色谱法测定汽油蒸气压
Pub Date : 2011-05-27 DOI: 10.1109/ICEICE.2011.5777798
Ming-yang Liu, Jing-hong Zhao, Xin-Yue Chen, Qiu-yan Wang, Zhong Zhou
In this paper, a double artificial neural network (ANN) algorithm has been established for calculating the Vapour Pressure of gasoline from the results of multidimensional gas chromatography analysis. Multidimensional resolution column was applied to obtain the results of the detailed hydrocarbon analysis of gasoline. The double ANN regression model has been established between the results of the detailed hydrocarbon analysis and the actually determined Vapour Pressure. When the method was applied to determine Vapour Pressure of export gasoline samples, the deviation of results was about 0.05 Psi (1 Psi=6.89KPa) compared with the standard method. The result of double ANN regression model was better than the result of partial least square (PLS) regression model. This method was easy to manipulate, and the modeling process was fast and easy to achieve. It was suitable for measuring the Vapour Pressure of the gasoline samples from the refinery and the export inspection.
本文建立了一种双人工神经网络(ANN)算法,用于从多维气相色谱分析结果中计算汽油的蒸气压。采用多维分辨柱对汽油进行了详细的烃分析。在详细烃分析结果与实际汽压之间建立了双神经网络回归模型。将该方法应用于出口汽油样品的蒸气压测定,结果与标准方法的偏差约为0.05 Psi (1 Psi=6.89KPa)。双人工神经网络回归模型的结果优于偏最小二乘(PLS)回归模型。该方法操作简便,建模过程快速,易于实现。适用于炼油厂汽油样品的蒸气压测量和出口检验。
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引用次数: 0
Analysis of road tunnel fire risk based on Fuzzy Fault Tree method 基于模糊故障树法的道路隧道火灾危险性分析
Pub Date : 2011-05-27 DOI: 10.1109/ICEICE.2011.5777846
Zhi-sheng Xu, Ai-you Wu, Shi-liang Shi, Xiao-kang Li, Guanglu Li
On the basis of system safety engineering theory and fire science, a model of tunnel fire named Fuzzy Fault Tree Analysis (FFTA) Model has been built according to the uncertainty of tunnel fire and the subjectivity of traditional fire risk analysis method. Using triangular fuzzy theory, the fuzzy probabilities of basic events and top events based on experts cognition level. Then the relationship degrees of influence factors was compared by their fuzzy classifications. The result shows that fire sources and fuels are the main causes of tunnel fires, and the failure of fire extinguishing equipments is in the second place. In order to reduce the risk of tunnel fire, the factors of tunnel fire and their logical relationships should be analyzed comprehensively, the possibility of tunnel fire should be monitored dynamically, and fire protection strategies should be established, which is significant to the safe operation and sustainable development of transportation.
基于系统安全工程理论和火灾科学,针对隧道火灾的不确定性和传统火灾风险分析方法的主观性,建立了隧道火灾的模糊故障树分析模型(FFTA)。运用三角模糊理论,根据专家的认知水平对基本事件和顶级事件进行模糊概率分析。然后用模糊分类法比较了影响因素之间的关系程度。结果表明,火源和燃料是隧道火灾发生的主要原因,灭火设备故障次之。为降低隧道火灾风险,应综合分析隧道火灾的影响因素及其逻辑关系,动态监测隧道火灾发生的可能性,制定火灾防范策略,这对交通运输的安全运行和可持续发展具有重要意义。
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引用次数: 3
Establishment of expert system for Hanfu Apple Industrial Science and Technology Service System 汉服苹果产业科技服务体系专家体系的建立
Pub Date : 2011-05-27 DOI: 10.1109/ICEICE.2011.5777835
Song Ping, Yang Tao, Gao He
Aiming at the lack in dynamic projection function and mechanical explaination, an expert system is proposed to be established for Hanfu Apple Industrial Science and Technology Service System with the help of Hanfu Apple selected and cultivated by Shenyang Algriculture University. Detailed analyses have been performed on the demand, background and significance of research for the system. A physical expert system has been established for Hanfu Apple Industrial Science and Technology Service System, which provides wider and more convinent service for the users by taking advantage of the distribution features of network with multiple users.
针对目前汉服苹果产业科技服务系统缺乏动态投影功能和机械解释的问题,提出以沈阳农业大学选育的汉服苹果为依托,建立汉服苹果产业科技服务系统专家系统。详细分析了本系统的需求、研究背景和意义。汉服苹果工业科技服务系统建立了物理专家系统,利用网络多用户分布的特点,为用户提供更广泛、更便捷的服务。
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引用次数: 0
Study on magnetizing model of TA core based on Jiles-Atherton theory 基于Jiles-Atherton理论的TA磁芯磁化模型研究
Pub Date : 2011-05-27 DOI: 10.1109/ICEICE.2011.5777522
Guo Qi-yi, P. Yu, Huang Shize, Hu Jing-tai
The research status of magnetizing model of TA core is analyzed and summarized. Five kinds of magnetizing models are illustrated briefly. Magnetizing model of solid core based on Jiles-Atherton theory is deeply analyzed. And the simulation of dynamic hysteresis loop is realized. Combined with the related theoretical derivation of air gapped core, the magnetizing model based on Jiles-Atherton theory is successfully used in magnetic modeling of air gapped core. Then the simulation of dynamic hysteresis loop is realized. After analysis of the simulation results, some important features of air gapped core's magnetic properties are found.
分析总结了TA铁芯磁化模型的研究现状。简要介绍了五种磁化模型。深入分析了基于Jiles-Atherton理论的固体铁心磁化模型。并实现了动态磁滞回线的仿真。结合气隙铁芯的相关理论推导,成功地将基于Jiles-Atherton理论的磁化模型应用于气隙铁芯的磁性建模。然后实现了动态滞回线的仿真。通过对仿真结果的分析,发现了气隙铁芯磁性能的一些重要特征。
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引用次数: 0
Based on discrete Hopfield neural network and wavelet transform character recognition 基于离散Hopfield神经网络和小波变换的字符识别
Pub Date : 2011-05-27 DOI: 10.1109/ICEICE.2011.5777839
Xinyu Dou, F. Song
Character recognition is a branch of pattern recognition, the problem of noisy character image recognition is solved by discrete Hopfield neural network which is used as associative memory and the wavelet transform theory in the paper. The important original data is extracted from each character image, which is learning data of neural network. The character image is recognized by discrete Hopfield neural network and de-noising by the wavelet transform theory. Noisy samples of character recognition show that the method is accurate and efficient.
字符识别是模式识别的一个分支,本文采用联想记忆的离散Hopfield神经网络和小波变换理论解决了带有噪声的字符图像识别问题。从每个字符图像中提取重要的原始数据,作为神经网络的学习数据。采用离散Hopfield神经网络对字符图像进行识别,并用小波变换理论对字符图像进行去噪处理。带噪样本的字符识别结果表明,该方法是准确有效的。
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引用次数: 0
Adaptive feature extraction of four-class motor imagery EEG based on best basis of wavelet packet and CSP 基于小波包和CSP最佳基的四类运动意象脑电自适应特征提取
Pub Date : 2011-05-27 DOI: 10.1109/ICEICE.2011.5777773
Ming-ai Li, Lin Lin, Yang Jin-Fu
This paper investigated the feature extraction of multi-channel four-class motor imagery for electroencephalogram (EEG). A new method which can adaptively extract features on the basis of the best wavelet package basis is proposed to solve the problem such as the low classification accuracy and weak self-adaptation. The traditional distance criterion is optimized which is under the condition that the criteria is additive for the choice of the best wavelet packet basis. And the frequency information is filtered by OVR-CSP algorithm to improve the separability of the feature information in frequency subbands. Simulation results demonstrate that the proposed approach achieve better performance than other common methods.
研究了脑电多通道四类运动图像的特征提取。针对分类精度低、自适应能力弱的问题,提出了一种基于最佳小波包基的特征自适应提取方法。在选取最佳小波包基的条件下,对传统的距离准则进行了优化。采用OVR-CSP算法对频率信息进行滤波,提高了频率子带特征信息的可分性。仿真结果表明,该方法比其他常用方法具有更好的性能。
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引用次数: 2
期刊
2011 International Conference on Electric Information and Control Engineering
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