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2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA)最新文献

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Sensorless Current Sharing Method for Two Module Input-Parallel Output-Parallel(IPOP) Connected Dual Active Half-Bridge(DAHB) Converters 双模块输入并联输出并联(IPOP)连接双有源半桥(DAHB)变换器的无传感器电流共享方法
Pub Date : 2019-06-01 DOI: 10.1109/ICIEA.2019.8833717
Shijie Wu, Lei Li, Weiwei Liu
This article briefly introduces the working principle of dual active half-bridge(DAHB) and the reasons for current mismatch at first, then describes a sensorless current sharing method for two module input-parallel output-parallel(IPOP) connected DAHB converter. This method estimates module parameters ratio by a single perturbation. The duty ratio of the module with larger parameters is compensated by a calculated correction amount according to estimated module parameter ratio. Simulations show that this estimation and compensation method can achieve sensorless current sharing well.
本文首先简要介绍了双有源半桥(DAHB)的工作原理和电流失配的原因,然后介绍了一种双模块输入并联输出并联(IPOP)连接的DAHB变换器的无传感器电流共享方法。该方法通过单次扰动估计模块参数比。对参数较大的模块的占空比,根据估计的模块参数比,通过计算的修正量进行补偿。仿真结果表明,该估计补偿方法可以很好地实现无传感器电流共享。
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引用次数: 4
Deep Convolutional Neural Network with Segmentation Techniques for Chest X-Ray Analysis 基于深度卷积神经网络分割技术的胸部x射线分析
Pub Date : 2019-06-01 DOI: 10.1109/ICIEA.2019.8834117
Binquan Wang, Zeyuan Wu, Zakir Ullah Khan, Chenglin Liu, Ming Zhu
The deep ConvNets is suitable for learning the mapping between CXR gradients. This paper proposes an example segmentation algorithm based on deep learning applied to xray medical image automatic segmentation annotation. The basic convolutional neural network is used to extract the feature map of the image, and the corresponding branch structure: classification, regression, and mask that can complete the automatic analysis of the image's infrastructure. Our method is evaluated on a dataset that consisted of 180 cases of real two-exposure dual-energy subtraction chest radiographs. Meanwhile, we design histogram averaging and data augmentation to enhance the low contrast image. Finally, we visualize the image and the good results have been achieved in the segmentation and labeling of clavicle and rib. We hope that our research will provide a good prospect for the application of deep learning in automatic segmentation and labeling of medical images.
深度卷积神经网络适用于学习CXR梯度之间的映射。本文提出了一种基于深度学习的分割算法示例,应用于x射线医学图像的自动分割标注。使用基本卷积神经网络提取图像的特征图,以及相应的分支结构:分类、回归、掩码,可以完成对图像基础结构的自动分析。我们的方法在一个由180例真实的两次曝光双能量减影胸片组成的数据集上进行了评估。同时,我们设计了直方图平均和数据增强来增强低对比度图像。最后对图像进行可视化处理,在锁骨和肋骨的分割和标记方面取得了良好的效果。我们希望我们的研究能为深度学习在医学图像自动分割和标注中的应用提供一个良好的前景。
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引用次数: 7
A Novel Bidirectional T-source DC Circuit Breaker for DC Microgrids 用于直流微电网的新型双向t源直流断路器
Pub Date : 2019-06-01 DOI: 10.1109/ICIEA.2019.8833694
Weizhang Song, N. An, You-yun Wang
A bidirectional DC breaker based on T-source series circuit is presented in this paper, which can work in the application where require bi-directional power flow between different nodes of microgrid and loads. When a short-circuit fault occurs, the proposed topology utilizes a T-source transformer to naturally commutate off the thyristor(SCR) by coupling and reducing the current to zero through the thyristor, thus avoiding circuit breaking under high current operating condition, furthermore, this topology allows a response to faults on either the source or load side only using a single controlled switch, no additional passive components are required compared with the unidirectional series T-source circuit breaker topology. The analysis is performed to find the fault conditions that cause the bi-directional circuit breaker to trip when operating in a single load power system, the transfer function of this breaker circuit is deduced and circuit parameters is designed. Finally, the operation principle of the bi-directional circuit breaker is evaluated for both source and load side faults by using a simulation platform PSIM.
本文提出了一种基于t源串联电路的双向直流断路器,适用于微网不同节点和负载之间需要双向潮流的场合。当发生短路故障时,所提出的拓扑利用t源变压器通过晶闸管耦合并将电流降至零来自然地换流到可控硅(SCR),从而避免了在高电流工作条件下的电路断路,此外,该拓扑允许仅使用单个受控开关对源侧或负载侧的故障做出响应。与单向串联t源断路器拓扑结构相比,不需要额外的无源元件。分析了在单负荷电力系统中导致双向断路器跳闸的故障条件,推导了该断路器电路的传递函数,并设计了电路参数。最后,利用PSIM仿真平台对双向断路器在源侧和负载侧故障下的工作原理进行了评估。
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引用次数: 8
Research on high precision displacement sensor based on optical arm amplification 基于光臂放大的高精度位移传感器研究
Pub Date : 2019-06-01 DOI: 10.1109/ICIEA.2019.8833802
Bai Zhang, Jiakun Zhang, Xueliang Kang, Ren Zheng
With the continuous development of optoelectronic information technology, modern manufacturing industry has higher requirements on the response speed, precision and resolution of sensors. A new high-precision continuous displacement sensor is proposed by combining the amplification principle of optical arm with the traditional position sensitive detector (PSD) in this paper. By using the principle of optical triangle amplification, the tiny displacement is transformed to the long side of the triangle, and the reflected laser is measured by the position sensitive detector to obtain the laser displacement of the long side. The structure of triangular wave optical reflector combined with dislocation multi-probe is adopted to realize alternating displacement measurement and extend the measuring range of the sensor. The experimental results show that the measurement principle proposed in this paper is correct, and the low-cost precision measurement of 1 µ m is preliminarily realized.
随着光电信息技术的不断发展,现代制造业对传感器的响应速度、精度和分辨率提出了更高的要求。本文将光臂放大原理与传统位置敏感探测器(PSD)相结合,提出了一种高精度连续位移传感器。利用光学三角形放大原理,将微小的位移变换到三角形的长边,用位置敏感探测器测量反射的激光,得到长边的激光位移。采用三角波光反射镜与位错多探头相结合的结构,实现了位移交替测量,扩大了传感器的测量范围。实验结果表明,本文提出的测量原理是正确的,初步实现了1µm的低成本精密测量。
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引用次数: 0
Design and Study of Data and Power Wireless Transfer System for UAV 无人机数据与功率无线传输系统的设计与研究
Pub Date : 2019-06-01 DOI: 10.1109/ICIEA.2019.8833983
Xiaokun Li, Junwei Lu, W. Water
Unmanned aerial vehicle (UAV) has been widely used in a variety of occasions in recent decades. Due to the lack of battery capacity, its endurance has been limited. To tackle this problem, wireless power transfer (WPT) technology is a great solution to UAV from the charging perspective. In this paper, a data and power wireless transfer system of UAV based on inductive power transfer (IPT) technology is proposed. The key constraint of wireless charging with regards to the inherent magnetic coupling coefficient is investigated. In this paper, ferrite and metglas amorphous alloy are used as a case study of the magnetic coupling problem. The magnetic material is placed next to the secondary coil side to investigate the effects of horizontal displacement and air gap distance on the coupling coefficient and magnetic field distribution. An experimental system platform is implemented, and the commercial finite element software tool Comsol is used to evaluate the performance of the magnetic material. The simulation results showed that amorphous alloy magnetic material is superior to ferrite material, and it is in a good agreement to the experimental results. Furthermore, the attention of using metglass material in the practical application has been discussed.
近几十年来,无人机(UAV)在各种场合得到了广泛的应用。由于电池容量不足,它的续航能力受到限制。为了解决这一问题,无线电力传输技术(WPT)从无人机充电的角度来看是一个很好的解决方案。提出了一种基于感应功率传输(IPT)技术的无人机数据与功率无线传输系统。研究了无线充电中固有磁耦合系数的关键约束。本文以铁氧体和metglass非晶合金为例,研究了磁耦合问题。在二次线圈侧放置磁性材料,研究水平位移和气隙距离对耦合系数和磁场分布的影响。搭建实验系统平台,利用商用有限元软件Comsol对磁性材料的性能进行评估。仿真结果表明,非晶合金磁性材料优于铁氧体材料,与实验结果吻合较好。并对metglass材料在实际应用中应注意的问题进行了讨论。
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引用次数: 3
Modeling Low Carbon and Low-Cost Electricity Supply for Pakistan 巴基斯坦低碳低成本电力供应模式
Pub Date : 2019-06-01 DOI: 10.1109/ICIEA.2019.8833645
Muhammad Yousif, Q. Ai, M. T. Anwar, Shuangrui Yin, Yang Gao, Ran Hao
Currently, the electricity generation companies around the world are moving towards low carbon and low-cost generation sources. It is supported by literature that instead of a single type of renewable source located at one place, dispersed and multiple types of the renewable sources can be the promising solution for low carbon and low-cost electricity supply. However, the best combination of these dispersed and different types of renewable sources for a certain area completely depends on the electric load profile and natural occurrences of natural phenomena. Authors model several combinations of renewable sources (e.g. wind turbine, Solar PV) and energy storage systems (e.g. battery, fuel cell) to supply electricity to a large-scale grid. The proposed model calculates the required combination of renewable sources and energy storage using hourly load and meteorological data of a whole year (8760 hours). Authors find out that low carbon and low-cost combinations contain excessive electricity generation capacity. The presented case study shows this excessive generation capacity is about three times the load peak demand. This is because the different types and excessive renewable generation capacity can meet the load using smaller energy storage which lessens the total system cost.
目前,世界各地的发电公司都在向低碳和低成本的发电方式发展。文献支持,与单一类型的可再生能源不同,分散和多类型的可再生能源可以成为低碳低成本电力供应的有希望的解决方案。然而,这些分散的、不同类型的可再生能源在某一地区的最佳组合完全取决于电力负荷概况和自然现象的自然发生。作者模拟了几种可再生能源(如风力涡轮机、太阳能光伏)和能源存储系统(如电池、燃料电池)的组合,为大规模电网供电。提出的模型利用每小时负荷和全年(8760小时)的气象数据计算可再生能源和能源储存所需的组合。作者发现低碳和低成本的组合包含了过剩的发电能力。所提出的案例研究表明,这种过剩的发电能力大约是负荷峰值需求的三倍。这是因为不同类型和过剩的可再生能源发电容量可以用更小的储能来满足负荷,从而降低了系统的总成本。
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引用次数: 0
Optimal Dispatch of Integrated Power and Gas Systems Considering Wind Power Uncertainty 考虑风电不确定性的电、气一体化系统优化调度
Pub Date : 2019-06-01 DOI: 10.1109/ICIEA.2019.8833843
D. Jiandong, Yang Yao, Jin Zhuanting, Cheng Yulin
This paper uses ARMA model to model the prediction error of wind power, and obtains the probability distribution of the prediction error by probability statistical analysis to simulate the uncertainty of wind power. Latin hypercube simulation is used to sample typical wind power prediction errors, and a large number of wind power scenarios are reduced. On this basis, taking into account the power-to-gas, a optimal dispatch model of the integrated power and gas systems(IPGS) is established with the objective of minimizing the operation cost of the system. The CPLEX solver is used to complete the solution of the model. Finally, modified 6-bus power system and 7-node natural gas system are used to construct an IPGS. This paper uses this IPGS to do the simulation test and cases studies. Which verifies the effectiveness of the model, and further reveals the advantages of power-to-gas in promoting wind power absorption and improving system operation economy.
本文采用ARMA模型对风电的预测误差进行建模,并通过概率统计分析得到预测误差的概率分布,模拟风电的不确定性。采用拉丁超立方体模拟对典型的风电预测误差进行采样,减少了大量的风电情景。在此基础上,考虑电改气,以系统运行成本最小为目标,建立了电气一体化系统的优化调度模型。采用CPLEX求解器完成模型的求解。最后,采用改进的6总线电力系统和7节点天然气系统构建IPGS。本文利用该IPGS进行了仿真测试和案例研究。验证了模型的有效性,进一步揭示了电改气在促进风电吸收、提高系统运行经济性方面的优势。
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引用次数: 1
A Novel Design of Information Collection System for Vehicles for Real-time Monitoring 一种新型车辆实时监控信息采集系统设计
Pub Date : 2019-06-01 DOI: 10.1109/ICIEA.2019.8834224
Qi Yang, Jing Liu, Hong Guo, Xiao Zeng, Wei Hu
Information Collection System for Vehicles is also known as Vehicle Traveling Data Recorder, which can be collected and recorded in real-time vehicle status with electronic devices. It is used to ensure traffic safety and plays an important role in the post-analysis when road traffic accidents occurred. The study of the vehicle traveling data recorder is existed very early in inland and outland, 90 years of 20 centuries along with the fast development of technology and science and car market, a lot of graduate schools and company start to research and exploit the vehicle traveling data recorder, and many related productions appear in the market. For enhancing the criterion of the vehicle traveling data recorder, this system is exploited basically according to National standard of vehicle traveling data recorder, uses MSP430 ultra-low power single-chip microcomputer as the master device, Micro SD card as a real-time memory. It can record, collect, process the information of car lights, braking, speeding and wheel speed. Recorder using USB module communications with the PC connected to these records through data analysis data processing software for real-time data recorded in post-processing analysis.
车辆信息采集系统又称车辆行驶数据记录仪,可以通过电子设备对车辆的实时状态进行采集和记录。它用于保证交通安全,在道路交通事故发生后的事后分析中起着重要的作用。国内外对行车记录仪的研究很早,20世纪90年代随着科技和汽车市场的快速发展,许多研究生院和公司开始对行车记录仪进行研究和开发,市场上出现了许多相关产品。为了提高车辆行驶记录仪的标准,本系统基本按照国家车辆行驶记录仪标准开发,采用MSP430超低功耗单片机作为主控设备,Micro SD卡作为实时存储器。它可以记录、收集、处理车灯、刹车、超速、轮速等信息。记录仪利用USB模块与PC机通信,将这些记录通过数据分析数据处理软件进行实时记录数据的后处理分析。
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引用次数: 1
Selective Harmonic Elimination PWM Switching Principle in Multi-Mode Modulation for Five-Phase Permanent Magnet Synchronous Motors 五相永磁同步电动机多模调制中的选择性谐波消除PWM开关原理
Pub Date : 2019-06-01 DOI: 10.1109/ICIEA.2019.8834001
T. Tang, Bin Yu, Hengbin Cui, Na Wang, Wensheng Song
Multi-phase permanent magnet synchronous motors (PMSM) are potentially used in the field of rail transit and due to theirs high power density and high reliability. For high power applications, Multi-mode modulation strategy based on selective harmonic elimination pulse width modulation (SHEPWM) are often used to achieve excellent current performance at very low switching frequency. However, the current impact caused by transition process of SHEPWM with different carrier ratios is a terrible issue in engineering application. To address this problem, this paper investigates the generation mechanism of current impact in the transition process according to the equivalent circuit model of five-phase PMSM firstly. Furthermore, theoretical analysis results proved that each phase independent switching scheme can achieve different carrier ratio SHEPWM smooth transition. Finally, the simulation results have verified the correctness and effectiveness of the theoretical analysis.
多相永磁同步电动机具有高功率密度、高可靠性等优点,在轨道交通领域有着广阔的应用前景。在大功率应用中,通常采用基于选择性谐波消除脉宽调制(SHEPWM)的多模调制策略,以在极低的开关频率下获得优异的电流性能。然而,在工程应用中,不同载流子比的SHEPWM在过渡过程中产生的影响是一个非常严重的问题。针对这一问题,本文首先根据五相永磁同步电机等效电路模型,研究了过渡过程中电流冲击的产生机理。理论分析结果证明,每种相位无关开关方案都能实现不同载流子比的SHEPWM平滑过渡。最后,仿真结果验证了理论分析的正确性和有效性。
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引用次数: 3
Research on Modeling and Forecasting Driven by Time Series Stream Data 时间序列流数据驱动的建模与预测研究
Pub Date : 2019-06-01 DOI: 10.1109/ICIEA.2019.8833650
Xuan Ma, Guoxin Ma
In view of the potentially infinite, fast-reaching, single-scan and noise-related characteristics of time series stream data, a method of data driven modeling and predicting is proposed in this paper. In order to enhance the real-time performance and the modeling accuracy of algorithm to the time series stream, we use a double sliding window to divide the time series stream data. One window is designed as a fixed length window to evaluate the fluctuation of the actual data, the other, as a variable length window, is used to establish a prediction model by GEP algorithm and generate prediction data. And then, the actual data and the prediction data calculated by the prediction model are fused to generate a fusion data. The colony climbing algorithm is applied to improve the population diversity of GEP to improve the prediction accuracy of modeling. The numerical simulation to the four test data sets shows that the proposed algorithm has better prediction accuracy than the Hierarchical Temporal Memory algorithm.
针对时间序列流数据潜在的无限、快速、单扫描和噪声相关的特点,提出了一种数据驱动的建模和预测方法。为了提高算法对时间序列流的实时性和建模精度,采用双滑动窗口对时间序列流数据进行分割。其中一个窗口设计为定长窗口,用于评估实际数据的波动情况;另一个窗口设计为变长窗口,用于通过GEP算法建立预测模型并生成预测数据。然后,将实际数据与预测模型计算的预测数据进行融合,生成融合数据。利用蚁群爬升算法提高GEP的种群多样性,提高建模的预测精度。对四个测试数据集的数值模拟表明,该算法比分层时间记忆算法具有更好的预测精度。
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引用次数: 1
期刊
2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA)
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