The PV Corrosion Fault Prognosis Based on Ensemble Kalman Filter
Joint Authors
Ouladsine, Radouane
Outbib, Rachid
Bakhouya, Mohamed
Source
International Journal of Photoenergy
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-31
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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 (RUL).
Simulations have been conducted using measured data set, and results are reported to show the efficiency of the proposed approach.
American Psychological Association (APA)
Ouladsine, Radouane& Outbib, Rachid& Bakhouya, Mohamed. 2017. The PV Corrosion Fault Prognosis Based on Ensemble Kalman Filter. International Journal of Photoenergy،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1168098
Modern Language Association (MLA)
Ouladsine, Radouane…[et al.]. The PV Corrosion Fault Prognosis Based on Ensemble Kalman Filter. International Journal of Photoenergy No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1168098
American Medical Association (AMA)
Ouladsine, Radouane& Outbib, Rachid& Bakhouya, Mohamed. The PV Corrosion Fault Prognosis Based on Ensemble Kalman Filter. International Journal of Photoenergy. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1168098
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168098