This paper proposes a procedure, based on both descriptive and inferential statistics for diagnosis of PV plants. This study aims to developing an algorithm able to recognize accurately among a degradation status and a system abnormality before a fault occurs. The statistical approach, based on the ANOVA and Kruskal-Wallis tests, is effective in locating abnormal operating conditions even in the presence of a reduced availability of energy measures. The proposed algorithm has been applied to a case study and advantages and limitations are presented

Inferential Statistics for Monitoring and Fault Forecasting of PV Plants

VERGURA, Silvano;ACCIANI, Giuseppe;
2008

Abstract

This paper proposes a procedure, based on both descriptive and inferential statistics for diagnosis of PV plants. This study aims to developing an algorithm able to recognize accurately among a degradation status and a system abnormality before a fault occurs. The statistical approach, based on the ANOVA and Kruskal-Wallis tests, is effective in locating abnormal operating conditions even in the presence of a reduced availability of energy measures. The proposed algorithm has been applied to a case study and advantages and limitations are presented
IEEE International Symposium on Industrial Electronics, ISIE 2008
978-142441665-3
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11589/14567
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