Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators

This article proposes a prognostic and diagnostic coupling framework based on the OSA-CBM (Open System Architecture for Condition Based Maintenance) photovoltaic generators (PVG). At First, this work presents some PVGs performance degradation studies main indicators. We select Corrected ratio (CPR) as indicator associated with Loess data analysis method to avoid aberrations errors from acquisition system. Then, methods of processes are explained: Watch Dog, Prognostic Enhancements Diagnosis Systems (PEDS), Integrated Predictive Maintenance (SIMP) OSA-CBM. last strategy its seven specialized layers permits interoperability both processes. The monitoring system provides health indicators results returned human operator. annual reduction rate CPR (Rd), allows us controlling proposed framework. approach is validated experimental collected four installations IEA PVPS Task13 database.