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Statistical risk analysis on the field observed defects/failures in the photovoltaic (PV) power plants is usually carried out using a combination of several manual methods which are often laborious, time consuming and prone to human errors. In order to mitigate these issues, an automated statistical risk analysis based on FMECA (failure mode effect criticality analysis) is necessary. The automated...
The purpose of this analysis is to identify the most influential degradation modes in the fielded photovoltaic (PV) modules in two different climatic conditions using statistical techniques. This study is based on the measured I–V data and visual inspection data on sampled modules in five different power plants located in Arizona (hot-dry climate) and in New York (cold-dry climate). Statistical tests...
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