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2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)最新文献

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Analysis of Tintoretto's paintings in the Scuola Grande di San Rocco by an image spectrometer 用图像分光仪分析圣罗科大学校里丁托列托的画作
P. Fiorentin, E. Pedrotti, A. Scroccaro
The paper describes the system, the procedure and the first results of the on site measurements devoted to the spectrometric characterization of the Tintoretto's painting in the “Scuola Grande di SanRocco” in Venice. The measuring method proves to be effective to provide a solid basis for the study and the design of a new lighting system able to improve the quality of the enjoyment of the works of art.
本文描述了在威尼斯“Scuola Grande di SanRocco”对丁托列托画作进行光谱表征的现场测量的系统、过程和初步结果。该测量方法被证明是有效的,为研究和设计一种能够提高艺术作品欣赏质量的新型照明系统提供了坚实的基础。
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引用次数: 0
Vibration frequency peak detection and sorting technique for passenger vehicles 乘用车振动频率峰值检测与分选技术
Martin Santacruz, Marco Félix, J. Ocampo, Gabriel Luna
This paper shows an experimental study about a mechanical vibration analysis technique that can be useful for monitoring mobile rotary systems in order to find a way to characterize critical parts of the system, and by this mean to create the possibility to assure its proper function. A passenger car has been used to develop a test that consisted of using a sensor to acquire the vibrations on an specific point of the car followed by the extraction of the most significant frequency harmonics in terms of amplitude, then we looked up for the relationship between the harmonics and the mechanical elements of the vehicle based on the fact that each harmonic represents a source of vibration. Using a low complexity acquisition system and a virtual instrument, the main purpose of this technique is to achieve a simple development and potentiality to assure vehicle reliability.
本文展示了一种机械振动分析技术的实验研究,该技术可用于监测移动旋转系统,以便找到一种方法来表征系统的关键部件,并通过这种方法来创造保证其正常工作的可能性。一辆乘用车被用于开发一项测试,该测试包括使用传感器获取汽车特定点上的振动,然后提取振幅方面最显著的频率谐波,然后我们根据每个谐波代表振动源的事实查找谐波与车辆机械元件之间的关系。该技术采用低复杂度的采集系统和虚拟仪器,主要目的是实现简单的开发和潜在的保证车辆可靠性。
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引用次数: 2
A method for the detection of series arc faults in DC aircraft power networks 飞机直流电网串联电弧故障的检测方法
M. Faifer, R. Ottoboni, M. Rossi, S. Toscani, R. Grassetti
On up-to-date aircrafts the electric power system is a very complex and crucial system, since great part of the equipment requires power supply. Its protection is a critical task as a fault may be catastrophic if it is not quickly detected and isolated. Thermal magnetic breakers or fuses are commonly employed to provide overload and short circuit protection. Unfortunately they are not effective in detecting other dangerous faults such as electrical arcs. In the last decades many systems able to detect series and parallel arcs have been developed. Most of them are complex devices that involve custom hardware and high computational burden. In this paper the authors propose a method for the identification of the series arcs in DC power systems which is based on a simple analysis of the current signal and on the evaluation of the energy related to the arc itself. In the paper the developed technique and the related experimental results are presented.
在现代飞机上,电力系统是一个非常复杂和关键的系统,因为大部分设备都需要供电。它的保护是一项至关重要的任务,因为如果不能迅速发现和隔离故障,可能会造成灾难性的后果。热磁断路器或熔断器通常用于提供过载和短路保护。不幸的是,他们不能有效地检测其他危险的故障,如电弧。在过去的几十年里,已经开发了许多能够检测串联和平行电弧的系统。其中大多数是复杂的设备,涉及定制硬件和高计算负担。本文提出了一种识别直流系统串联电弧的方法,该方法基于对电流信号的简单分析和电弧本身相关能量的评估。本文介绍了所开发的技术和相关的实验结果。
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引用次数: 8
Minimum bias error of the frequency estimation with the non-parametric method 用非参数方法估计频率的最小偏差误差
T. Lusin, D. Agrez
The systematic bias error of the non-parametric frequency estimation due to leakage effect can be effective reduced by the interpolated discrete Fourier transform. For fast decline of the long-range leakages the Rife-Vincent windows are used and the RV class II windows perform the lowest bias error.
采用内插离散傅里叶变换可以有效地减小非参数频率估计中由于泄漏效应引起的系统偏置误差。对于远程泄漏的快速下降,使用了Rife-Vincent窗,RV II类窗具有最低的偏差误差。
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引用次数: 1
Pulse signal analysis based on wavelet packet transform and hidden Markov model estimation 基于小波包变换和隐马尔可夫模型估计的脉冲信号分析
Jing Meng, Yuning Qian, Ruqiang Yan
The pulse signal can reflect the change of mechanisms and pathophysiology in the blood and viscera. An integrated approach, which combines the wavelet packet transform (WPT) with hidden Markov models (HMM), is presented to analyze the pulse signals, which often exhibit non-stationarity, in this study. Specifically, pulse signals measured from healthy and hypertensive subjects were decomposed into a number of frequency sub-bands, and energy features were then extracted from these sub-bands. The key features associated with each sub-band were selected based on the Fisher linear discriminant criterion. The key features were subsequently used as inputs to a HMM classifier for assessing the subjects' health status. Experimental results indicate that the proposed approach can differentiate the hypertensive pulses from healthy pulses effectively.
脉搏信号可以反映血液和脏腑的机制和病理生理变化。本文将小波包变换(WPT)与隐马尔可夫模型(HMM)相结合,提出了一种分析脉冲信号非平稳性的方法。具体而言,将健康受试者和高血压受试者的脉搏信号分解为多个频率子带,然后从这些子带中提取能量特征。基于Fisher线性判别准则选取与各子带相关的关键特征。这些关键特征随后被用作HMM分类器的输入,用于评估受试者的健康状况。实验结果表明,该方法能有效区分高血压脉搏和健康脉搏。
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引用次数: 3
On the suitability of compressive sampling for the measurement of electrical power quality 论压缩取样在电能质量测量中的适用性
F. Bonavolontà, M. D’Arco, G. Ianniello, A. Liccardo, R. S. L. Moriello, L. Ferrigno, M. Laracca, G. Miele
The deeper interconnection and the increasing presence of active devices on the electrical networks is raising many issues concerning with the monitoring of Power Quality phenomena. Voltage parameters related to the supply of electricity and current parameters related to the working of electrical apparatuses have to be monitored as accurately as possible. To this aim specific international standards impose strict measurement methods and complex measurement instrument architectures, usually based on the computation of real time Fast Fourier Transforms, to be adopted for the purpose. In particular, considering poly-phase systems, four currents and four voltages have to be detected, synchronized, measured and analyzed with good accuracy and spectral resolution. This imposes to the measurement the calculation of eight FFTs in a very short time. These requirements conflicts with the need of cost-effective measurement instruments required by spread and distributed monitoring systems in many points of the electrical plant. To face this issues this paper proposes the study and the tuning of compressive sampling (CS) techniques capable of assuring reliable reconstruction of the signal of interest from very low acquired samples. In particular, to make the CS use more feasible, the authors have also exploited some peculiarities of the CS approach in order to reduce the computational burden usually associated with the mere application of its acquisition and reconstruction protocol. Preliminary results confirm the applicability of the proposed solution.
随着电网互联程度的加深和有源设备的增多,对电能质量现象的监测提出了许多问题。与电力供应有关的电压参数和与电气设备工作有关的电流参数必须尽可能准确地监测。为此,特定的国际标准规定了严格的测量方法和复杂的测量仪器架构,通常基于实时快速傅里叶变换的计算。特别是考虑到多相系统,必须以良好的精度和光谱分辨率检测、同步、测量和分析四种电流和四种电压。这就要求在很短的时间内计算8个fft的测量。这些要求与发电厂许多点的分散和分布式监测系统所需的具有成本效益的测量仪器的需求相冲突。为了解决这个问题,本文提出了压缩采样(CS)技术的研究和调整,能够确保从非常低的采集样本中可靠地重建感兴趣的信号。特别是,为了使CS的使用更加可行,作者还利用了CS方法的一些特性,以减少通常与仅应用其获取和重建协议相关的计算负担。初步结果证实了所提方案的适用性。
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引用次数: 21
An alternative recovery algorithm based on SL0 for multiband signals 基于SL0的多波段信号替代恢复算法
Xiyuan Peng, Miao Zhang, Jingchao Zhang, Hongpeng Li, Ning Fu, Liyan Qiao, Hongwei Xu
Multiband signal is a typical signal in the realm of modern communication, whose spectrum is the sum of several narrow band signals in frequency domain. Modulated Wideband Converter (MWC) system, which is based on the emerging theory of Compressed Sensing (CS), can sample multiband signals at a sub-Nyquist rate without carrier frequencies as a precondition. In this paper, a novel recovery strategy for MWC is proposed, exploiting Simultaneous Smoothed ℓ0 Norm (SL0), to reconstruct original signal from sub-Nyquist sampling data. This method approximates ℓ0 norm using a continuous function, which can improve the reconstruction accuracy. Simulation results demonstrate that the proposed algorithm is superior to the original Simultaneous Orthogonal Matching Pursuit (SOMP) algorithm.
多波段信号是现代通信领域的一种典型信号,它的频谱是几个窄带信号在频域上的和。基于压缩感知(CS)理论的调制宽带转换器(MWC)系统可以在不以载波频率为前提的情况下以亚奈奎斯特速率对多波段信号进行采样。本文提出了一种新的MWC恢复策略,利用同时光滑的l0范数(SL0)从亚奈奎斯特采样数据中重构原始信号。该方法利用连续函数逼近0范数,提高了重建精度。仿真结果表明,该算法优于原有的同步正交匹配追踪(SOMP)算法。
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引用次数: 1
Design methodology of a self-priming PMMA valveless piezoelectric micro-pump 自吸PMMA无阀压电微泵的设计方法
A. Neto, A. Lima, C. L. Gomes, L. Oliveira, C. Moreira, F. Tejo
A design methodology for a self-priming PMMA valveless piezoelectric micro-pump has been proposed. A finite element-based software has been used to investigate the feasible device configurations. Both actuator and diffuser parameters have been studied. The experimental tests have shown that the proposed design approach yielded a low-cost and highly efficiency micro-pump.
提出了一种自吸式PMMA无阀压电微泵的设计方法。采用有限元软件对可行的装置结构进行了研究。对致动器和扩散器参数进行了研究。实验结果表明,所提出的设计方法产生了一种低成本、高效率的微泵。
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引用次数: 4
Measuring power systems load conditions through data segmentation 通过数据分割测量电力系统负载状况
M. D'Apuzzo, M. D’Arco, G. Ianniello, A. Liccardo
Modeling and analysis of the functioning of power systems is very difficult because of time varying and non-linear behaviors. Often power systems are described trough simplified approaches. The most widespread one recognizes load conditions that can be considered stationary within limited time intervals, in order to apply thus standard harmonic analysis techniques. Here a data segmentation approach to distinguish the time intervals in which stationary load conditions can be recognized is discussed and assessed.
由于电力系统的时变和非线性行为,对其进行建模和分析是非常困难的。电力系统通常是通过简化的方法来描述的。最广泛的一种方法是识别在有限的时间间隔内可以被认为是平稳的负载条件,以便应用标准的谐波分析技术。这里讨论和评估了一种数据分割方法,以区分可以识别固定负载条件的时间间隔。
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引用次数: 0
Energy-efficient and data synchronized body sensor network for physical activity measurement 用于身体活动测量的节能和数据同步的身体传感器网络
L. Mo, Shaopeng Liu, R. Gao, P. Freedson
Measurement of human physical activity (PA) is important for assessing the health state. A wireless multi-sensor integrated measurement system (WIMS) has been designed for measurement of the activity types and intensities of human subjects under free-living conditions. To address challenges posted by the limited battery life and asynchronous data among multiple sensors in the WIMS system, a ZigBee-based wireless platform has been designed, prototyped, and experimentally evaluated. Multi-Data-Packaging and Slot-Data-Synchronization algorithms have been developed improved energy efficiency. Experiments have shown that the design enables continued operation of the wearable system for over 30 hours, with data synchronization error among the various sensor nodes being less than 6 ms. The results demonstrate the effectiveness of the energy-efficient wireless design for human physical activity monitoring.
人体体力活动(PA)的测量是评估健康状态的重要手段。设计了一种无线多传感器集成测量系统(WIMS),用于测量人类受试者在自由生活条件下的活动类型和强度。为了解决WIMS系统中有限的电池寿命和多个传感器之间的异步数据所带来的挑战,我们设计了一个基于zigbee的无线平台,并对其进行了原型设计和实验评估。多数据封装和槽数据同步算法的发展提高了能源效率。实验表明,该设计可使可穿戴系统持续运行30小时以上,各传感器节点之间的数据同步误差小于6 ms。实验结果证明了节能无线设计在人体运动监测中的有效性。
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引用次数: 7
期刊
2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
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