Predictive Maintenance in Photovoltaic Plants with a Big Data Approach

29 Jan 2019Alessandro BettiMaria Luisa Lo TrovatoFabio Salvatore LeonardiGiuseppe LeottaFabrizio RuffiniCiro Lanzetta

This paper presents a novel and flexible solution for fault prediction based on data collected from SCADA system. Fault prediction is offered at two different levels based on a data-driven approach: (a) generic fault/status prediction and (b) specific fault class prediction, implemented by means of two different machine learning based modules built on an unsupervised clustering algorithm and a Pattern Recognition Neural Network, respectively... (read more)

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