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

Chemistry

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