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- W2765209714 abstract "The degradation of photovoltaic (PV) modules remains a major concern on the control and the development of the photovoltaic field, particularly, in regions with difficult climatic conditions. The main degradation modes of the PV modules are corrosion, discoloration, glass breaks, and cracks of cells. However, corrosion and discoloration remain the predominant degradation modes that still require further investigations. In this paper, a model-based PV corrosion prognostic approach, based on an ensemble Kalman filter (EnKF), is introduced to identify the PV corrosion parameters and then estimate the remaining useful life (<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML id=M1><mml:mi mathvariant=normal>R</mml:mi><mml:mi mathvariant=normal>U</mml:mi><mml:mi mathvariant=normal>L</mml:mi></mml:math>). Simulations have been conducted using measured data set, and results are reported to show the efficiency of the proposed approach." @default.
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- W2765209714 date "2017-01-01" @default.
- W2765209714 modified "2023-10-17" @default.
- W2765209714 title "The PV Corrosion Fault Prognosis Based on Ensemble Kalman Filter" @default.
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- W2765209714 doi "https://doi.org/10.1155/2017/1825931" @default.
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