Conference Record - IEEE Instrumentation and Measurement Technology Conference

Publisher: Institute of Electrical and Electronics Engineers

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ISSN 1091-5281

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Institute of Electrical and Electronics Engineers

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Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Rotational speed is a key parameter for condition monitoring and control of rotating devices in many industries. This paper presents a novel measurement technique using a single electrostatic sensor coupled with autocorrelation signal processing algorithms. The characteristics of the electrostatic sensor are analyzed through Finite Element Modeling. Experimentation based performance assessment of the system for the speed measurement of shafts made of different materials, including polytetrafluoroethylene (PTFE), polyvinyl chloride (PVC) and polyamide (PA) is reported. Effect of the size of the shaft is observed and quantified. Experimental results obtained on an experimental test rig suggest the measurement system is capable of producing repeatable rotational speed measurement with a maximum error of ±0.5% over the speed range of 600 to 3000 RPM (revolution per minute). The system performs better under the conditions of higher rotational speed and larger rotors.
    2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC); 05/2014
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper demonstrates an accurate measurement procedure to characterize the DC and AC performance of an optical detector designed for monolithic integration with a 600 V vertical power MOS transistor. The spectral quantum efficiency (QE) from 400 nm up to 1 μm wavelengths has been measured. A QE of 26% in the 450 nm - 520 nm wavelength range was achieved. The developed setup and measurement procedures can be used for diced samples, packaged devices, and on-wafer probing (maximum size: 4” wafers); furthermore, it is equipped with temperature control. The integrated optical detectors (IOD) key phenomena have been investigated for a wide range of wavelengths and biasing conditions, both experimentally and numerically. Simulation results as well as experimental results are presented and compared.
    Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International; 05/2013
  • [Show abstract] [Hide abstract]
    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
  • [Show abstract] [Hide abstract]
    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: 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 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
  • [Show abstract] [Hide abstract]
    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
  • [Show abstract] [Hide abstract]
    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
  • [Show abstract] [Hide abstract]
    ABSTRACT: The article presents a simple, practical approach for indoor localization using Received Signal Strength fingerprints from the GSM network, including an analysis of the relationship between signal strength and location, and the evolution of localization performance over time. Support Vector Machine regression applied to very high dimensional fingerprints does not reveal any smooth functional relationship between fingerprints and position. Classification using Support Vector Machines however provides very good results on discriminating different rooms in an indoor environment, albeit with performance that degrades over time. Transductive inference, introduced as a means of updating models to overcome degradation over time, provides hints that accurate indoor localization can be achieved by applying classification methods to cellular Received Signal Strength fingerprints, performance robustness being maintained via model updating and refining.
    Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International; 05/2013
  • [Show abstract] [Hide abstract]
    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
  • [Show abstract] [Hide abstract]
    ABSTRACT: CERN's LHC is composed of thousands of superconductor magnets that may sometimes quench (lose suddenly their superconducting properties). This paper presents a method to detect magnet quenches from the pressure of the helium inside the magnets. The method detects slight deflexions on the pressure signal created by a magnet quench. The deflexion is recognized through a trend analysis of the pressure filtered first derivative, where a specific shape formed of two consecutives temporal episodes signs the presence of a quench. The method was tested on a database composed of 30 pressure signals, where a total of 94 quenches occurred during the measurements. The results were analysed through a ROC curve and showed that the method was able to detect 84% of the quenches with only one false alarm.
    Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International; 05/2013