Analyse des signaux transitoires émis par les arcs électriques générés dans les panneaux photovoltaïques

National audienceDes arcs électriques aux conséquences graves peuvent parfois survenir au sein de panneaux photovoltaïques. Cet article décrit un système de détection d'arcs en utilisant deux méthodes différentes, lesquelles sont comparées au niveau des performances de détection. Une méthode de localisation est également décrite et évaluée sur la base de configurations réelles. Enfin, une description du démonstrateur opérationnel développé pour réaliser cette détection et localisation est présentée

Electric Arc Locator in Photovoltaic Power Systems Using Advanced Signal Processing Techniques

International audienceIn this paper, we present two techniques for the localization of electric arcs produced in photovoltaic power systems. High order statistic analysis (HOSA) and recurrence plot analysis (RPA) have already proven successful in detecting the partial discharges associated with the production of an electric arc in a high voltage power system. However, this solves only the first half of the problem, since a localization of the arc also needed. Using a four sensors array detector along with a combination of HOSA and RPA techniques, we estimate the direction of arrival (DOA) of the electric arc, as well as the distance to the detector. An experiment was put in place in order to validate the results

Non-destructive detection of the useful zone in Boron carbide-reinforced metal matrix composites laminated plates

Boron carbide (B4C)-reinforced metal matrix composites (MMCs) are materials of choice for the manufacturing of radioactive material containers due to their neutron absorption properties. The neutron absorption capacity of this material depends mainly on the density of B4C particles in the aluminum matrix. The reinforced MMC sheets used to manufacture these containers are produced by a lamination process. The raw sheets coming out of the rolling mill show uneven distribution of B4C particles between the extremities of the sheets, constituted solely of aluminum (rejection zone), and the interior of the laminated sheet, with the right aluminum / B4C ratio (useful zone). Detecting the boundary between the useful zone and the rejection zone is a crucial step in the process, as it defines which part of the sheet should be used to manufacture the containers. Determination of this boundary is currently carried out by chemical digestion, which is costly, time-consuming, and provides only localized information. The aim of this work was to develop a non-destructive technique able to detect the boundary between the rejection zone and the useful zone. The approach is based on the difference in acoustic attenuation between rejection and useful zones. More precisely, the ultrasonic parameter used was the amplitude ratio between the backwall and the front wall echo of the sheet when performing a pulse-echo inspection at 20 MHz. The amplitude ratio in aluminum is smaller than in the useful zone containing B4C, which is more attenuating for the ultrasounds. Two types of scans were performed: 1D linear scan and 2D scan. The linear scan was performed using a conventional probe coupled to the part via a conformable wedge. The boundary between both zones was detected by segmenting the amplitude ratio profile into different sections with constant statistical parameters. The 2D scan was performed with an automated 5-axis inspection system in a water tank using a conventional probe. A map of amplitude ratios was generated, and the useful zone was detected using an agglomerative clustering segmentation. Validation was carried out by comparing the amplitude ratio profile with chemical digestion data from samples taken from these sheets. Experimental validation, performed on sheets with different B4C densities and thicknesses, showed that amplitude ratio enables a good detection of the boundary and therefore the useful zone