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2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)最新文献

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Fault diagnosis of a permanent magnet synchronous generator connected to a uncontrolled rectifier bridge 无控整流桥接永磁同步发电机故障诊断
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603920
J. Hang, Shichuan Ding, Guoli Li, F. Xie
This paper presents a simple and reliable method for detecting the faults occurring in a permanent magnet synchronous generator (PMSG) connected with a three-phase uncontrolled rectifier bridge (TPURB), which is based on monitoring the output DC current. A PMSG connected with a TPURB at constant speed is discussed under two types of faults, namely phase winding faults and diode faults. An adaptive neuro-fuzzy inference system (ANFIS) is utilized to make decisions about the fault type. In order to demonstrate the effectiveness of the proposed method, finite element (FE) method is applied to generate virtual data applied to train the ANFIS. The simulation results show that the proposed method can effectively diagnose these faults.
本文提出了一种基于监测输出直流电流的三相无控整流桥式永磁同步发电机(PMSG)故障检测方法,该方法简单可靠。本文讨论了在三相绕组故障和二极管故障两种故障情况下与TPURB恒速连接的PMSG。采用自适应神经模糊推理系统(ANFIS)对故障类型进行判断。为了验证所提方法的有效性,采用有限元法生成虚拟数据用于训练ANFIS。仿真结果表明,该方法能够有效地诊断这些故障。
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引用次数: 0
Operating points as communication bridge between energy evaluation with air temperature and velocity based on extreme learning machine (ELM) models 基于极限学习机(ELM)模型的工况点作为能量评估与温度和速度之间的沟通桥梁
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603675
Deqing Zhai, Y. Soh, W. Cai
This paper aims to evaluate the high energy demand components in the buildings, such as HVAC system, with respect to the indoor environmental parameters, such as ambient air temperature and velocity. The Extreme Learning Machine (ELM) was chosen to be trained from the experimental data in the thermal laboratory due to its accuracy and less computational complexity from many previous researches and studies. Therefore the given physical environmental parameters are able to be predicting the energy consumptions level from the ELM model of Air Handling Unit (AHU) of HVAC systems.
本文旨在从室内环境参数(如环境空气温度和速度)方面对建筑中高能耗部件(如暖通空调系统)进行评估。极限学习机(Extreme Learning Machine, ELM)在热工实验室的实验数据中进行训练,是因为前人的研究结果表明,极限学习机的训练精度高,计算复杂度低。因此,在给定物理环境参数的情况下,利用ELM模型可以预测暖通空调系统中空气处理机组的能耗水平。
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引用次数: 8
Study on brush gesture feature recognition based on the 3D point cloud 基于三维点云的笔刷手势特征识别研究
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603847
Huang Mingji, Li Lin
In recent years, more and more people are learning Chinese calligraphy, and for how to correctly brush pen and brush, the less people know about this. This topic combines the spatial point cloud data and gesture recognition technology, in view of the common brush pen gestures - five fingers penned method for the study of feature selection and extraction. Innovation point of this article is the gesture recognition technology, space motion capture technology, pattern recognition technology, etc., establish the platform of brushes gesture recognition on static feature and dynamic brush gestures characteristics for identification, guide people to correctly brush pen and brush.
近年来,学习中国书法的人越来越多,而对于如何正确的刷笔、刷笔,对此了解的人却越来越少。本课题将空间点云数据与手势识别技术相结合,针对常见的毛笔手势——五指笔法进行特征选择与提取的研究。本文的创新点是手势识别技术、空间动作捕捉技术、模式识别技术等,建立了对毛笔手势识别的平台,对毛笔手势的静态特征和动态特征进行识别,引导人们正确刷笔和刷笔。
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引用次数: 1
Data-aware QoE-QoS management 数据感知qos - qos管理
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603882
Charles Z. Liu, M. Kavakli
In this paper, we propose a data aware method to perform Quality of Experience (QoE) and/or Quality of Service (QoS) management. A data-aware QoE model is built based on Principle Component Analysis (PCA). Three main types of QoE-QoS management (optimal QoE management, optimal QoS management and QoE-QoS balance management) are discussed based on the proposed scheme. A QoE-QoS unified optimization is also presented in normalized scale space. An experiment is given to show how the proposed scheme works. With the proposed scheme, the operations for QoE-QoS management is simplified but flexible, and the optimal solution can be obtained analytically with balanced efficiency.
在本文中,我们提出了一种数据感知方法来执行体验质量(QoE)和/或服务质量(QoS)管理。基于主成分分析(PCA),建立了一个数据感知的QoE模型。在此基础上讨论了QoS -QoS管理的三种主要类型(最优QoS管理、最优QoS管理和QoS -QoS平衡管理)。提出了一种归一化尺度空间的qos - qos统一优化方法。最后通过实验验证了该方案的有效性。该方案简化了qos - qos管理的操作,但具有灵活性,能够以均衡的效率解析得到最优解。
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引用次数: 7
Research and realization of digital export boards in CPCI test system based on high availability hot-swap technology 基于高可用热插拔技术的CPCI测试系统中数字输出板的研究与实现
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603858
Tianxu Yang, Xiaoguang Hu
CPCI bus, as many buses more complex, aerospace test system the most widely used bus system, is ranging from high-grade hot swap technology and hot backup technology to achieve greater application needs. Its design, application methods and techniques applied in the transformation to meet the related equipment upgrades, but also instructive in higher levels of overall system design process. Especially important guiding significance for thermal measurement and control system design and overall system redundancy hot backup plan structure. Therefore, CPCI bus, hot-swappable and hot backup technology achieve the most representative. This issue is chosen the most representative system design example, according to the relevant standard design demonstration experiment platform, design the HILS system and Control System validate the hot redundancy of the system. On this basis the relevant technical report to verify the proposed theory is correct.
CPCI总线作为众多母线中较为复杂、航空航天试验系统应用最为广泛的母线系统,正从高档热插拔技术到热备份技术实现更大的应用需求。其设计、应用方法和技术应用于相关设备的改造升级,同时也对更高层次的整体系统设计过程具有指导意义。尤其对热测控系统设计和系统整体冗余热备份方案结构具有重要的指导意义。因此,CPCI总线、热插拔和热备份技术实现最具代表性。本课题选取了最具代表性的系统设计实例,根据相关标准设计演示实验平台,设计了HILS系统和控制系统,验证了系统的热冗余性。在此基础上通过相关技术报告验证了所提出理论的正确性。
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引用次数: 0
3D anomaly inspection system for sewer pipes using stereo vision and novel image processing 基于立体视觉和新型图像处理的污水管道三维异常检测系统
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603726
Phat Huynh, R. Ross, Andrew Martchenko, J. Devlin
This paper describes and evaluates a novel 3D inspection system to detect anomalies in sewer pipes using stereo vision coupled with novel image processing algorithms. Currently, most commercial pipe inspection systems are designed with one or more Closed-circuit Television (CCTV) cameras. These systems are slow, costly and have limited accuracy (caused by human and environmental factors). More sophisticated systems (Laser-based, Infrared Thermography, Ultrasonic-based and Ground Penetrating Radar) suffer from: low resolution, high noise, high operational costs and an inability to detect water infiltration. The main objective of this research is to apply stereo vision and robust image processing to generate 3D images of anomalies in sewer pipes in order to achieve high efficiency and accuracy for pipe inspection. The results show that various types of defects are successfully detectable. In addition, the correspondence time can be reduced by up to 45% and the accuracy of disparity maps is maintained compared to traditional local correspondence algorithms. Each component of the proposed system was tested individually with real and simulated data sets.
本文描述并评估了一种新的三维检测系统,该系统使用立体视觉和新的图像处理算法来检测下水道管道中的异常。目前,大多数商用管道检测系统都设计有一个或多个闭路电视(CCTV)摄像机。这些系统速度慢,成本高,精度有限(由人为和环境因素造成)。更复杂的系统(基于激光、红外热成像、超声波和探地雷达)存在以下问题:低分辨率、高噪音、高操作成本和无法探测水渗透。本研究的主要目的是应用立体视觉和鲁棒图像处理技术生成污水管道异常的三维图像,以达到管道检测的高效率和准确性。结果表明,各种类型的缺陷都可以成功检测到。此外,与传统的局部对应算法相比,该算法最多可减少45%的对应时间,并保持了视差图的精度。系统的每个组成部分分别用真实和模拟数据集进行了测试。
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引用次数: 10
A carrier-based control scheme for five-leg back-to-back converter-fed induction motor drive 一种基于载波的五足背靠背变换器感应电机驱动控制方案
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603774
Yunhua Li, Chengguang Huang, Dehong Zhou, Jin Zhao
A five-leg back-to-back converter-fed induction motor drive, consisted of coupled rectifier and inverter sharing one leg between them, is discussed in this paper. This topology can be applied for fault-tolerant system when one leg of conventional back-to-back converter fails. However, this kind of system poses a two-object control problem. Moreover, the inherent DC bus voltage distribution between rectifier and inverter limit the performance of system. The poor DC bus voltage utilization of carrier modulation makes the situation worse. A novel zero sequence signal calculation algorithm is presented to achieve independent control of rectifier and inverter and improve the voltage utilization. The simulation is implemented to verify effectiveness of the scheme.
本文讨论了一种由耦合整流器和逆变器共用一个支路组成的五支路背靠背变换器感应电动机驱动。该拓扑结构可用于传统背靠背变换器一支路故障时的容错系统。然而,这种系统存在双目标控制问题。此外,整流器和逆变器之间固有的直流母线电压分布限制了系统的性能。载波调制的直流母线电压利用率差,使这种情况更加严重。为了实现整流器和逆变器的独立控制,提高电压利用率,提出了一种新的零序信号计算算法。通过仿真验证了该方案的有效性。
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引用次数: 1
Sliding-mode observers for real-time DDoS detection 用于实时DDoS检测的滑模观察器
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603695
F. Han, Long Xu, Xinghuo Yu, Z. Tari, Yong Feng, Jiankun Hu
This paper proposes a sliding-mode observer for real-time DDoS detection on network routers, which will be used for connection-oriented services. The developed observers estimate the traffics going through the routers and identify those connections without the following-up packets based on the real-time queue length information inside the routers. These identified traffics are suspicious DDoS attacks which are considered as disturbance in the simplified TCP/IP model of the router. With the observers in use, when DDoS attacks are launched, it has an abrupt change in the disturbance component which could be recognized easily. The proposed observer-based DDoS detection could be installed inside the routers associated with the firewalls. The web server has an overall picture of the entire system, based on which the priority service could be implemented. As a result, the suspicious anomalous could be ranked as the lowest priority for processing and may lead to deep investigation to those suspicious traffics. This proposed mechanism makes optimal use of resource at the bottleneck links to ensure the diverse QoS requirements for high security applications that requires real-time DDoS detection. NS-2 simulation results validate the effectiveness of the proposed method.
本文提出了一种用于网络路由器上实时DDoS检测的滑模观测器,用于面向连接的服务。开发的观察者根据路由器内部的实时队列长度信息,对经过路由器的流量进行估计,并在没有后续数据包的情况下识别这些连接。这些被识别的流量是可疑的DDoS攻击,在路由器的简化TCP/IP模型中被认为是干扰。在使用观测器的情况下,DDoS攻击发生时,干扰分量会发生突变,容易被识别。建议的基于观察者的DDoS检测可以安装在与防火墙相关联的路由器内部。web服务器拥有整个系统的总体情况,优先级服务可以在此基础上实现。因此,可疑异常可能被列为处理的最低优先级,并可能导致对这些可疑流量进行深入调查。该机制可以最大限度地利用瓶颈链路上的资源,保证对需要实时DDoS检测的高安全性应用的不同QoS要求。NS-2仿真结果验证了该方法的有效性。
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引用次数: 4
Improved RBF neural network algorithm for reliability data 可靠性数据的改进RBF神经网络算法
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603850
Nan Donglei, Jian Zhixin, Li Wei
RBF neural network algorithm refers to a kind of new method promoted according to the fact that failure data volume is small while the distributed model cannot be distinguished. For the problem that non-teaching study in current RBF neural network algorithm should be deter-mined by experts' experience, AP is promoted to improve the current algorithm based on which a new p value is de-signed to make the number of clustering centers in new algorithm determinable for that of original samples. By creating variable groups of data arbitrarily, the BWP and NRMSE value are used for comparing the effects of clustering and extending result repeatedly analyzing new or old algorithms. The failure data of one kind of numerical control machines is analyzed and calculated repeatedly to test the validity of new algorithm in which the identifiable rate of distributed model is promoted, compared with original algorithm.
RBF神经网络算法是根据故障数据量小、分布模型无法区分的特点而提出的一种新方法。针对当前RBF神经网络算法中非教学性研究需由专家经验判断的问题,提出AP对现有算法进行改进,在此基础上设计新的p值,使新算法的聚类中心数对原始样本的聚类中心数可确定。通过任意创建可变数据组,利用BWP和NRMSE值来比较聚类效果和重复分析新旧算法的扩展结果。通过对某型数控机床的故障数据进行反复分析和计算,验证了新算法的有效性,与原算法相比,该算法提高了分布式模型的识别率。
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引用次数: 0
Pulse shaping approach to PAPR reduction for multiuser OFDM systems 基于脉冲整形的多用户OFDM系统PAPR降低方法
Pub Date : 2016-06-05 DOI: 10.1109/ICIEA.2016.7603931
R. Reine, Z. Zang
Multiuser orthogonal frequency division multiplexing (MU-OFDM) communication systems have higher system efficiency compared to single user OFDM systems. However, the high peak-to-average power ratio (PAPR) of the MU-OFDM signal is considered as one of the major drawbacks of the MU-OFDM systems. This paper proposes to use computationally efficient optimisation approach to design a set of orthogonal pulse shaping waveforms to reduce the PAPR of the MU-OFDM signal. Autocorrelation and cross-correlation of the pulse shaping waveforms are specified in the constraints in order to minimise intersymbol interference (ISI) and co-channel interference (CCI). Methods to solve the optimal waveform set design problem are presented. Numerical results illustrate that the designed set of pulse shaping waveforms is efficient in reducing the PAPR of the OFDM signal in multiuser communication systems.
多用户正交频分复用(MU-OFDM)通信系统比单用户OFDM通信系统具有更高的系统效率。然而,MU-OFDM信号的峰值平均功率比(PAPR)过高被认为是MU-OFDM系统的主要缺点之一。本文提出采用计算效率高的优化方法设计一组正交脉冲整形波形,以降低MU-OFDM信号的PAPR。为了最小化码间干扰(ISI)和同信道干扰(CCI),在约束条件中规定了脉冲整形波形的自相关和互相关。提出了解决最优波形集设计问题的方法。数值结果表明,所设计的脉冲整形波形可以有效地降低多用户通信系统中OFDM信号的PAPR。
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引用次数: 4
期刊
2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)
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