Dr. Simona Salicone
Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, 20133 Milano, Italy
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Academic Career Length
26Years (2001-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications27 September 2004 in IEEE Transactions on Instrumentation and Measurement
Journal Article
AFAlessandro Ferrero
Alessandro FerreroSimona SaliconeThe good measurement practice requires that the measurement uncertainty is estimated and provided together with the measurement result. The practice today, which is reflected in the reference standard provided by the IEC-ISO "Guide to the expression of uncertainty in measurement," adopts a statistical approach for the expression and estimation of the uncertainty, since the probability theory is the most known and used mathematical tool to deal with distributions of values. However, the probability theory is not the only tool to deal with distributions of values and is not the most suitable one when the values do not distribute in a totally random way. In this case, a more general theory, the theory of the evidence, should be considered. This paper recalls the fundamentals of the theory of the evidence and frames the random-fuzzy variables within this theory, showing how they can usefully be employed to represent the result of a measurement together with its associated uncertainty. The mathematics is defined on the random-fuzzy variables, so that the uncertainty can be processed, and simple examples are given.
10 December 2002 in IEEE Transactions on Instrumentation and Measurement
Journal Article
LCLoredana Cristaldi
Loredana CristaldiAFAlessandro Ferrero
Alessandro FerreroSimona SaliconeThe problem of evaluating power-quality is becoming an impelling need due to the proliferation of disturbing loads in the electric power systems. Unfortunately, the identification of the sources disturbing the system cannot generally be achieved by means of measurements in a single metering section of the electric network. This paper proposes a distributed measuring system to monitor a number of power-quality indices on every load connected to the same point of common coupling, to transmit the measured values to a master device that processes them in order to locate the sources of unbalance and harmonic distortion and to quantify the effects of such disturbances on power quality. The results of some experimental work performed on a low-voltage network are also reported.
5 June 2006 in IEEE Instrumentation & Measurement Magazine
Journal Article
AFAlessandro Ferrero
Alessandro FerreroSimona SaliconeThe following fundamental concepts of measurement science have been briefly reported in this tutorial article: 1) The result of a measurement provides only incomplete knowledge of the measurand, whose true value remains unknown and unknowable; 2) The uncertainty concept plays a key role in quantifying the incompleteness of the knowledge provided by the measurement result; and 3) A measurement result can be usefully employed only if the associated uncertainty is estimated and if it can be traced back to the appertaining standard; otherwise, it is a meaningless value. This tutorial has given a short review of the present practice for expressing and estimating uncertainty in measurement, based on the definitions and prescriptions given by the GUM.
5 June 2006 in IEEE Transactions on Instrumentation and Measurement
Journal Article
AFAlessandro Ferrero
Alessandro FerreroSimona SaliconeThis paper analyzes the result of a measurement in the mathematical model of incomplete knowledge and shows how it can be treated in the framework of the theory of evidence. The random fuzzy variables are considered in order to express the result of a measurement together with its uncertainty, and a significant application is considered to prove the practical utility of the proposed approach
22 November 2010 in IEEE Transactions on Instrumentation and Measurement
Journal Article
The evaluation of the spectral components of a signal by means of discrete Fourier transform or fast Fourier transform algorithms is subject to leakage errors whenever the sampling frequency is not coherent with the signal frequency. Smoothing windows are used to mitigate these errors, and interpolation methods are applied in the frequency domain to reduce them further on. However, if cosine windows are employed, closed-form formulas for the evaluation of harmonic frequencies can be used only with the Rife-Vincent class I windows, while approximated formulas have to be used in other cases. In both cases, a high computation burden is required. This paper proposes a fast interpolation method, independent of the window type and order, based on suitable lookup tables. Experimental results are reported, and the accuracy is discussed, proving that the method provides results as good as those obtained with other methods, without requiring the same high computation burden.
10 December 2002 in IEEE Transactions on Instrumentation and Measurement
Journal Article
AFAlessandro Ferrero
Alessandro FerreroMLMassimo Lazzaroni
Massimo LazzaroniSimona SaliconeThe measurement of power quality is becoming an impelling need in a deregulated electricity market where the sources producing distortion and disturbances are steadily in creasing in number and power. The instruments for power quality measurement are based on complex digital processing of the input signals, whose waveforms are highly variable. The calibration of this kind of instruments is therefore an open topic, especially when the uncertainty propagation through the digital signal processing (DSP) algorithm is concerned. This paper proposes an innovative procedure, based on the Monte Carlo method. Starting from the determination of the probability density function of the uncertainty contribution of every device from the signal input stage to the analog-to-digital conversion stage, this procedure estimates the probability density function of the measurement results and the measurement standard uncertainty as the standard deviation associated with this function. The result of the experimental work done on a prototype of a power quality measurement instrument is reported.
About Me
Simona Salicone is an associate professor of electrical and electronic measurements at DEIB, Politecnico di Milano.
Her principal research interests are concerned with the analysis of advanced mathematical methods for uncertainty representation and estimation. Her research activity is reflected in over 100 papers published in international and national scientific journals, in the proceedings of national and international conferences in the field of instrumentation and measurements, and in two monographs, edited by Springer.
In 2004, Simona received the Outstanding Young Engineer Award from the IEEE I&M, in recognition of her contributions to measurement uncertainty theory. In 2007, she was elected to the grade of IEEE Senior Member by the Officers and Board of Directors of the IEEE. From 2014 to the end of 2016, she was a part of the editorial board of the IEEE I&M Magazine, being responsible for the column “Future Trends in Instrumentation & Measurements”, and from January 2016 to the end of 2017, she was the magazine's associate editor in chief. In appreciation of her outstanding service to IEEE Transaction on Instrumentation and Measurement, Simona received recognition as one of the Transaction's Outstanding Reviewers of 2015 by the IEEE I&M Society. Simona is also the winner of the 2016 IEEE I&M Faculty Course Development Award.