84 research outputs found

    The ESSnuSB design study: overview and future prospects

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    ESSnuSB is a design study for an experiment to measure the CP violation in the leptonic sector at the second neutrino oscillation maximum using a neutrino beam driven by the uniquely powerful ESS linear accelerator. The reduced impact of systematic errors on sensitivity at the second maximum allows for a very precise measurement of the CP violating parameter. This review describes the fundamental advantages of measurement at the 2nd maximum, the necessary upgrades to the ESS linac in order to produce a neutrino beam, the near and far detector complexes, the expected physics reach of the proposed ESSnuSB experiment, concluding with the near future developments aimed at the project realization.Comment: 19 pages, 11 figures; Corrected minor error in alphabetical ordering of the authors: the author list is now fully alphabetical w.r.t. author surnames as was intended. Corrected an incorrect affiliation for two authors per their reques

    Wavelets and Hilbert Transform for detection of short disturbances in electrical power networks

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    In electrical energy power network, disturbances can cause problems in electronic devices therefore their monitoring is fundamental to properly design the protection and compensation devices. In this paper we address the problem of disturbances’ detection by using two different signal processing methods: Wavelets and Hilbert Transform (HT). Methods were tested under different conditions of noise and harmonic distortion (THD) showing the Hilbert Transform can be used as a valid approach for this type of phenomena

    Sistema neurale per la previsione del carico elettrico di stazioni di telecomunicazione

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    Si descrive un sistema interconnesso di reti neuronali pr la previsione del carico di stazioni per telecomunicazion

    Non recursive Nonlinear Least Squares for periodic signal fitting

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    A non-recursive version of Nonlinear Least Squares Fitting for frequency estimation is presented. This problem yields a closed-form solution exploiting a Taylor's series expansion. Respecting some conditions, the computational complexity is reduced, but equally the method assures that the accuracy reaches the Cramer-Rao Bound. The proposed method requires a frequency pre-estimate. A series of simulations has been made to determine how accurate the pre-estimate should be in order to ensure the achievement of the Cramer-Rao Bound in various conditions for different periodic signals. The execution time of the proposed algorithm is smaller compared to a single iteration cycle of the standard approach. The proposed method is useful in applications that require a high accuracy fitting of periodic signals, especially when limited computational resources are available or a real-time evaluation is needed

    Non recursive multi-harmonic least squares fitting for grid frequency estimation

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    A new method to approximate the least squares multi-harmonic fitting is proposed. The basic idea is to expand in Taylor’s series the derivative on ω of the least squares cost function around a central value, so reducing the frequency estimation to a calculation of a root of a polynomial. In this way the method provides a frequency estimation in a closed form avoiding the recursion that is necessary in the classical approach. The results show that the proposed algorithm reaches the Cramer–Rao bound in a narrow range of frequency around a pre-estimation. Increasing the approximation orders of the Taylor’s expansion the range of maximum accuracy widens. This method is particularly suitable in grid frequency estimation due its low variability. The proposed algorithm, preserving the accuracy, requires an execution time up to 8 times lower compared to a single iteration of the classical recursive approach

    Power Quality As An Opportunity to Implement the Productivity and to Reduce the Costs

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    The article describes the hardware and software of the instrument placed in some European countries able to collect Power Quality (PQ) data. These instruments are provided by one of the bigger UPS farmer in the world. The collected data have been analyzed by Roma Tre University that has elaborated some statistical evaluation of the European PQ. Some economical evaluation on the industrial productivity, connected with the lack of PQ, are also presented. It is also shown a possible creation, in the future, of new corporations able to face PQ problems with the aim to provide new kind of service for those customers particularly sensible to PQ

    Scheda di acquisizione multi piattaforma per misurazioni certificate di power quality

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    Nell'ambito della conservazione dei beni culturali l'accumulo di polveri costituisce un grave problema. Le sue interazioni con i manufatti sono molteplici e i danni che essa puĂČ provocare sono notevoli

    DETECTION OF SHORT TRANSIENTS AND INTERRUPTIONS USING THE HILBERT TRANSFORM

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    Abstract − In electrical energy power networks, disturbances can cause problems in electronic devices so their monitoring is fundamental in Power Quality. In this paper we address the problem of disturbances estimation by using the Hilbert Transform (HT). It is employed as an effective technique for tracking the voltage waveforms in electrical distribution systems. The mathematical simplicity of the proposed technique, compared with the commonly used algorithms from the literature, renders them competitive candidate for the on-line tracking of disturbances. The accurate tracking of the HT facilitates its implementation for the control of disturbances mitigation devices. Simulation results are provided to verify the tracking capabilities of the algorithm and this has been tested under different conditions: voltage dip with phase jump, noise and frequency changes shows that the Hilbert Transform can be used as a valid methodology for this type of phenomena
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