Year 2021, Volume 24 , Issue 2, Pages 673 - 680 2021-06-01

Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators
Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators

Mohamed HASSAN ALI [1] , Aamir MEHMOOD [2]


This article proposes a prognostic and diagnostic coupling framework based on the OSA-CBM (Open System Architecture for Condition Based Maintenance) for photovoltaic generators (PVG). At First, this work presents some PVGs performance degradation studies and the main degradation indicators. We select the Corrected performance ratio (CPR) as degradation indicator associated with the Loess data analysis method to avoid aberrations and errors from acquisition system. Then, the main methods of coupling diagnostic and prognostic processes are explained: Watch Dog, Prognostic Enhancements to Diagnosis Systems (PEDS), Integrated Predictive Maintenance Systems (SIMP) and OSA-CBM. This last strategy with its seven specialized layers permits the interoperability of both processes. The monitoring system provides health indicators of PVGs and results are returned to human operator. The annual reduction rate of the CPR and reduction rate (Rd), allows us controlling the proposed coupling framework. This approach is validated with experimental data collected on four photovoltaic installations from the IEA PVPS Task13 database.
This article proposes a prognostic and diagnostic coupling framework based on the OSA-CBM (Open System Architecture for Condition Based Maintenance) for photovoltaic generators (PVG). At First, this work presents some PVGs performance degradation studies and the main degradation indicators. We select the Corrected performance ratio (CPR) as degradation indicator associated with the Loess data analysis method to avoid aberrations and errors from acquisition system. Then, the main methods of coupling diagnostic and prognostic processes are explained: Watch Dog, Prognostic Enhancements to Diagnosis Systems (PEDS), Integrated Predictive Maintenance Systems (SIMP) and OSA-CBM. This last strategy with its seven specialized layers permits the interoperability of both processes. The monitoring system provides health indicators of PVGs and results are returned to human operator. The annual reduction rate of the CPR and reduction rate (Rd), allows us controlling the proposed coupling framework. This approach is validated with experimental data collected on four photovoltaic installations from the IEA PVPS Task13 database.
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Primary Language en
Subjects Engineering
Journal Section Research Article
Authors

Orcid: 0000-0001-9820-9803
Author: Mohamed HASSAN ALI (Primary Author)
Institution: University of Picardie Jules Verne - University of Djibouti
Country: Djibouti


Orcid: 0000-0002-0892-3972
Author: Aamir MEHMOOD
Institution: Faculty of Mechanical Engineering, University of Engineering and Technology
Country: Pakistan


Dates

Application Date : July 4, 2019
Publication Date : June 1, 2021

Bibtex @research article { politeknik587253, journal = {Politeknik Dergisi}, issn = {}, eissn = {2147-9429}, address = {Gazi Üniversitesi Teknoloji Fakültesi 06500 Teknikokullar - ANKARA}, publisher = {Gazi University}, year = {2021}, volume = {24}, pages = {673 - 680}, doi = {10.2339/politeknik.587253}, title = {Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators}, key = {cite}, author = {Hassan Alı, Mohamed and Mehmood, Aamir} }
APA Hassan Alı, M , Mehmood, A . (2021). Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators . Politeknik Dergisi , 24 (2) , 673-680 . DOI: 10.2339/politeknik.587253
MLA Hassan Alı, M , Mehmood, A . "Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators" . Politeknik Dergisi 24 (2021 ): 673-680 <https://dergipark.org.tr/en/pub/politeknik/issue/61515/587253>
Chicago Hassan Alı, M , Mehmood, A . "Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators". Politeknik Dergisi 24 (2021 ): 673-680
RIS TY - JOUR T1 - Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators AU - Mohamed Hassan Alı , Aamir Mehmood Y1 - 2021 PY - 2021 N1 - doi: 10.2339/politeknik.587253 DO - 10.2339/politeknik.587253 T2 - Politeknik Dergisi JF - Journal JO - JOR SP - 673 EP - 680 VL - 24 IS - 2 SN - -2147-9429 M3 - doi: 10.2339/politeknik.587253 UR - https://doi.org/10.2339/politeknik.587253 Y2 - 2020 ER -
EndNote %0 Politeknik Dergisi Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators %A Mohamed Hassan Alı , Aamir Mehmood %T Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators %D 2021 %J Politeknik Dergisi %P -2147-9429 %V 24 %N 2 %R doi: 10.2339/politeknik.587253 %U 10.2339/politeknik.587253
ISNAD Hassan Alı, Mohamed , Mehmood, Aamir . "Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators". Politeknik Dergisi 24 / 2 (June 2021): 673-680 . https://doi.org/10.2339/politeknik.587253
AMA Hassan Alı M , Mehmood A . Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators. Politeknik Dergisi. 2021; 24(2): 673-680.
Vancouver Hassan Alı M , Mehmood A . Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators. Politeknik Dergisi. 2021; 24(2): 673-680.
IEEE M. Hassan Alı and A. Mehmood , "Prognostic and Diagnostic Coupling Framework Based on OSA-CBM strategy for Photovoltaic Generators", Politeknik Dergisi, vol. 24, no. 2, pp. 673-680, Jun. 2021, doi:10.2339/politeknik.587253