Electrical Measurement and Uncertainty Estimation

Research focus

The Peer review has evaluated this group as Excellent

The common denominator of the research activity of this Research Group can be found in the analysis and development of new methodologies and devices for digital signal analysis and processing. This Group has been active in this field since the very beginning of the DSP applications to measurement and has developed several innovative methods and algorithms for signal analysis in the time and frequency domains, such as improved FFT algorithms for phase angle error minimization, improved integration algorithms for magnetic flux measurement, inverse digital filters for compensation of anti-aliasing filters, advanced algorithms for the solution of mathematical ill-conditioned inverse problems. All developed methods have been validated in practical applications, covering a wide range of applications of the electrical measurements. The main fields to which the Group has contributed are: - characterization of electrical and magnetic devices, components and materials; - measurement of electrical quantities in electric power systems and development of innovative high-voltage, high-current, wide-band transducers; - electric power analysis and power-quality measurement in nodes of the electric power system by means of distributed measurement systems; - on-line diagnosis of electro-mechanical components and devices; - on-line diagnosis and control of magnetic-hydrodynamic instabilities of thermonuclear plasma; - low-frequency electric and magnetic field measurement; - electric and acoustic tomography methods for the detection of pollutants dispersed in soil and water basins; - development of intelligent sensors. All above applications have posed several metrological problems, concerned with the way measurement uncertainty of complex, DSP-based measurement systems can be estimated. The most recent activity of the Research Group has developed in the analysis of innovative methods for uncertainty estimation. Two main approaches have been followed: the first one has developed advanced probabilistic methods, based on strict analytical derivations, for the estimation of the probability density function of final measurement results; the second one has investigated new mathematical theories, with particular attention to the 11 theory of evidence and the theory of possibility, in order to find a more general way to express and process incomplete information, and hence characterize the result of a measurement. All above activities have been always pursued in close connection with the most qualified international research groups and all achievements have been widely recognized by the international scientific community. In particular, this Group has been recognized as one of the leading Groups in the field of electric power system analysis under non-sinusoidal conditions.

Dipartimento di afferenza

Dipartimento di Elettrotecnica

Docenti afferenti

Full Professors
Alessandro Ferrero
Roberto Ottoboni
Associate Professors
Loredana Cristaldi
Assistant Professors
Simona Salicone