the project proposes to accomplish a new system architecture of real-time video inspection of textile materials, which should ensure a fault tracking-down, rate of over 99%, in the presence of disturbing elements from the industrial environment. The inspection procedure stipulates that the system should learn the correct model of the textile material, so that it is able to notice the deviations that might appear during its inspection. The model changes are analyzed with the help of many detection algorithms to separate real flaws from normal variations, accepted in the material. After the detection, follows the localization of the flaw, settling the coordinates, its size and recording it in the flaw library. This is a work-in-progress that has to be finished in august 2008.

We present a new method for the identification of bubble nucleation in superheated droplet detectors. This is accomplished through some elaborate signal processing techniques applied to the acoustical recording of the nucleation events. These include the application of wavelets, chirp-z transform and pulse shape identification procedures to locate temporally and validate the nucleation together with back-propagation algorithms for spatial localization. Experimental results are given for the spatial localization at different temperatures and pressures.

A comparative analysis of induction and electronic meters with regards to active energy measurements is presented, based on results obtained by application of a designed plan involving several input factors such as power voltage amplitude, power frequency, voltage total harmonic distortion (THD) and flicker severity.

The project proposes accomplishing of a new informatics system architecture, under the form of a high-speed virtual laboratory, with a multitask type access on laboratory work, to remove users’ waiting lists and allow reconfiguration of electric assembling in real time. Accomplishing the project was preceded by a thoroughly analysis of didactic requests according to economic problems, so that, the following aspects would be solved: Students will access from the distance real instruments and will accomplish online test montages, in the idea of understanding all the aspects of a real experiment (including possible flaws). Errors detected in prescribing the commands towards the machine will not be corrected automatically, but the student will be warned. The results of the tests will be supplied by the user in the same way the real instrument does.

This work proposes a virtual instrument (VI) for the electric power quality monitoring aiming to act in real-time for detecting, monitoring and recording all typical disturbances superimposed on the ideal signal; it is based on both IEC standards 61000-4-30 and 61000-4-7 [1] [2] and on the directive for the Consultation of the Italian Authority for the Electric Power and Gas of April 6, 2005. The latter presents the peculiar features of an experimental monitoring system for the mid voltage electric energy distribution network whose experimentation should lead the distributing companies to the respect of the Voltage Quality (VQ) monitoring obligation. According to the above mentioned regulations, the proposed VI acquires both line voltage and current waveforms and carries out the innovating power quality indexes calculations in times comparable with those of other commercially available instruments; in order to obtain an accurate estimation of the parameters of interest a suitable Fast Fourier Transform interpolation algorithm is implemented in the VI. The laboratory prototype is based on a low cost data acquisition card equipped with suitable current and voltage sensors; the VI code is developed using National Instruments LabVIEW® Professional Development System and Mathworks MATLAB® and achieves very interesting performances.