Conference Record - IEEE Instrumentation and Measurement Technology Conference

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  • ISSN
    1091-5281

Publications in this journal

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    ABSTRACT: In the near future electrical waveforms in power networks are expected to exhibit strong amplitude and phase fluctuations caused by dynamic network topology changes and variable energy flows between loads and generators. Such fluctuations need to be constantly and accurately monitored both to optimize energy distribution and for safety and protection reasons. Nowadays, this task is typically accomplished by the so called Phasor Measurement Units (PMU), which measure the phasor of voltage and current waveforms on a common timescale synchronized to the Coordinated Universal Time (UTC). One of the most typical techniques for phasor estimation is based on digital down-conversion and filtering. This approach, although not explicitly recommended, is described in Annex C of Standard IEEE C37.118.1-2011, namely one of the main reference document for synchrophasor measurement in power systems. The same standard also reports two possible examples of filters for P-class and M-class phasor estimation. However, no specific filter design methods are provided. In this paper some guidelines for filter design are proposed on the basis of a model describing the behavior of a power waveform in both static and dynamic conditions. The reported design criteria are supported by some simulation results.
    IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2013; 05/2013
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    ABSTRACT: In this paper, the design and implementation of an energy measurement system for an electric vehicle competition is described. The system consists of PC-based software and a processor-controlled stand-alone measuring unit with an analog front-end, an SD memory card, a radio link, and a USB interface. The work was carried out as a part of a university project course. The designed system was experimentally tested both in the laboratory and in an actual race.
    Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International, Minneapolis, MN; 05/2013
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    ABSTRACT: This paper proposes a novel approach to online automatic detection of the presence of large biomass particles in a pneumatic conveying pipeline using an acoustic emission sensor and time-frequency analysis techniques. The acoustic sensor is used to capture the sound emitted from the collisions between biomass particles and pipe wall. Time-frequency analysis technique is used to eliminate environmental noise from the acoustic signal, extract the revealing information about the collisions, and identify the large particles. The acoustic sensor together with its signal conditioning unit is integrated into a compact enclosure, which can be easily attached to the outer face of a pneumatic pipeline. Experimental results obtained from an industrial pneumatic conveyor demonstrate the method works well and results are promising.
    IEEE International Conference on Instrumentation and Measurement Technology; 05/2013
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    ABSTRACT: The availability of intelligence at substation level, combined with the adoption of pervasive communication networks, offers technologies and opportunities to decentralized smart grid metering and control. In this domain self-organizing sensor networks equipped by distributed consensus protocols has been recognized as an effective enabling paradigm. The large scale deployment of this paradigm asks for comprehensive analysis aimed at assessing the impact of the non idealities characterizing the real power system environment on the cooperative protocols performance. Armed with such a vision this paper aims at characterizing the performance of distributed consensus protocols in the presence of measurement uncertainty and non-ideality of the measurement instruments in a smart grid environment.
    Instrumentation and Measurement Technology Conference (I2MTC), Minneapolis, MN; 05/2013
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    ABSTRACT: In this paper, measurement set-up and data analysis for the characterization of two-wheel vehicles suspension systems with regard to comfort and road holding is proposed. The main aim is the definition of a method for the experimental quantification of the suspension system performance. An application of the method to the verification of both comfort and safety assured by a control strategy for semi active suspensions is reported.
    Instrumentation and Measurement Technology Conference (I2MTC); 05/2013
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    ABSTRACT: The paper discusses the problem of designing attribute sampling plans by means of closed-form approximate formulae. A methodology is developed to fully characterize the formulae, in terms of design error, i.e. difference between "estimated" and "true" parameters of the sampling plan for given requirements. The focus is on the quality control of isolated lots, but the proposed methodology is applicable to any attribute single sampling plan. The cases in which the design formulae are "exact", and the cases in which they are not, are identified.
    IEEE I2MTC; 05/2013
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    ABSTRACT: In the present paper, the authors propose a thermal energy balance model in order to prevent accidents in hemodialysis. Hemodialysis is the most common treatment for renal failure. It performs an extracorporeal blood wastes filtration taking the place of the malfunctioning kidney. Nevertheless this replacement therapy is cause of several side effects affecting the hemodynamic stability of patient. The authors focus attention on the hypotension accident. Thermal energy/heat exchanges between blood and environment in the extracorporeal system might be cause of hypotension occurrence. Unfortunately, today poor importance is given to such aspects. A careful analysis of these issues has allowed authors to define a model for optimizing treatment procedures nowadays used in medical practice. In fact, most of the hemodialysis machines control automatically the dialysate solution temperature starting from peripheral body temperature measurements. Differently, the proposed approach is based on two control parameters: the pre-dialysis patient core temperature and heat exchanges. Non-invasive temperature estimations of arterial and venous blood are obtained by computing thermal energy exchanges. The aim of the present model is to guarantee a constant patient core temperature preventing intradialytic hypotension.
    IEEE I2MTC; 05/2013
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    ABSTRACT: Currently, industry demands early failure detection on his processes, machines, production lines, etc. One of the most widely used motors in industry is the induction motor. A common induction motor failure is the broken bars. It is well know that broken bars produce spurious frequencies around the supply frequency. Moreover, the amplitude of the spurious frequencies in the sideband of the main frequency is sensitive to the number of broken bars. In this paper a real-time pre-processing methodology to enhance detectability for broken bar detection using motor current signature analysis and mathematical morphology is presented. The proposed methodology is implemented into a low cost FPGA. A statistical analysis is presented in order to demonstrate the detection improvement.
    Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International; 05/2013
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    ABSTRACT: In the last years, the introduction of distributed energy resources increases the complexity of distribution grid management system, which requires performing communication infrastructures. Moreover, an optimal power management requires a direct data exchange with home and industrial automation and energy systems. A well known technology, the Power Line Communication (PLC), seems to be able to satisfy large parts of these demands. Nevertheless, several PLC solutions have been proposed over the years, each of them satisfying the requirements of specific applications. A measurement method able to characterize the communication performance of different PLC protocols is required due to the increasing complexity of the PLC modern infrastructures. In this work, an approach based on Software Defined Radio has been proposed. This solution is able to characterize several PLC systems, based on different physical modulations, using the same experimental set-up. The characterization of a PLC system, based on DBSK modulation, in a real environment, clearly demonstrated the feasibility of the proposed approach.
    Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International; 05/2013
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    ABSTRACT: Clock synchronization is essential to support time-based medium access scheduling and distributed control over industrial networks relying on Real-Time Ethernet (RTE). PROFINET IO is one of the most widely used field-buses in large automation plants. The PROFINET IO Isochronous Real Time (IRT) implementation includes a Precision Transparent Clock Protocol (PTCP) for network-level synchronization. A similar scheme is also used in the second version of the Precision Time Protocol (PTP), standardized as IEEE 1588-2008. Unfortunately, synchronization uncertainty typically grows in the case of long chains of cascaded clocks. In this paper, the accuracy of a clock state estimator based on a Kalman filter is analyzed in the context of PROFINET IO IRT networks. The proposed estimator can be used to compensate the time offsets of every node with respect to the reference master, thus improving synchronization accuracy in the case of long linear topologies beyond the limits of other existing solutions. The presented results are obtained from multiparametric simulations based on the features of real hardware devices.
    Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International; 05/2013
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    ABSTRACT: In modern real-time Ethernet networks for substation automation, several protocols are adopted to guarantee the strict synchronization and availability requirements imposed by applications. The management of these networks is more and more complex, since several (cross-influencing) configuration parameters affect the performance of the overall system. In this paper the attention has been focused on synchronization systems applied to redundant network infrastructures for substation automation: in these systems the reconfiguration of the network after a fault may affect the synchronization performance of the nodes. As a test case the SNTP (Simple Network Time Protocol) synchronization has been simulated (with different fault conditions) using two network topologies typically adopted in Substation Automation Systems: RSTP (Rapid Spanning Tree Protocol) and PRP (Parallel Redundancy Protocol). The performance of the two cases has been compared by means of suitable metrics: PRP, as opposed to RSTP, guarantees seamless synchronization performance in case of a single fault.
    Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International; 05/2013
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    ABSTRACT: In the paper, the authors present a model to diagnose gastric disorders by non-invasive measurements. Gastric electrical activity is measured by electrogastrographic technique. Skin surface electrodes placed in epigastric area are used to record myoelectrical signals. Cutaneous electrogastrography (EGG) records gastric slow waves from the body surface. Acquired signals are filtered and subsequently processed by Discrete Wavelet Transform. The study of dominant frequency components allows physician to assess gastric activity arrhythmias (tachygastria, bradygastria and irregular rhythm) due to specific pathologies. Power spectral density diagrams are obtained. The proposed diagnostic criteria estimate the presence of gastric pathology by the analysis of the frequency and power of the EGG waveform. Specific diagnostic parameters have been defined and put in comparison with reference values of normal EGG in order to evaluate arrhythmias occurrence. An innovative approach has been used to optimize the multifactorial diagnosis model.
    2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2013); 05/2013
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    ABSTRACT: There is a relation, not always linear, between the blood pressure and the pulse duration, obtained from photoplethysmography (PPG) signal. In order to estimate the blood pressure from the PPG signal, in this paper the Artificial Neural Networks (ANNs) are used. Training data were extracted from the Multiparameter Intelligent Monitoring in Intensive Care waveform database for better representation of possible pulse and pressure variation. In total there were analyzed more than 15000 heartbeats and 21 parameters were extracted from each of them that define the input vector for the ANN. The comparison between estimated and reference values shows better accuracy than the linear regression method and satisfy the American National Standards of the Association for the Advancement of Medical Instrumentation.
    2013 IEEE International Instrumentation and Measurement Technology Conference - I2MTC'2013, Minneapolis (MN), USA; 05/2013

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