In this paper, we present an expert diagnostic system for the interpretation of four different categories of system’s functioning based on an innovative feature extraction tequiniques and a Probabilistic Neural Network for the classification of events identifying failures that can occur during in a high-concentration photovoltaic (HCPV) system located in Fleri, Sicily (Italy)

Failure Classification in High Concentration Photovoltaic System (HCPV) by using Probabilistic Neural Networks

G. Lo Sciuto;G. Capizzi;CARAMAGNA, ANDREA;Fabio Famoso
;
R. Lanzafame;
2017-01-01

Abstract

In this paper, we present an expert diagnostic system for the interpretation of four different categories of system’s functioning based on an innovative feature extraction tequiniques and a Probabilistic Neural Network for the classification of events identifying failures that can occur during in a high-concentration photovoltaic (HCPV) system located in Fleri, Sicily (Italy)
2017
photovolatic systems, performance indicators, neural networks, failure analysis.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/316008
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