TY - GEN
T1 - Automation of risk priority number calculation of photovoltaic modules
AU - Moorthy, Mathan Kumar
AU - Tamizhmani, Govindasamy
N1 - Funding Information:
Funding support from SERIIUS (Solar Energy Research Institute for India and the United States) is gratefully acknowledged.
Publisher Copyright:
© 2017 IEEE.
PY - 2017
Y1 - 2017
N2 - Statistical risk analysis on the field observed defects/failures in the photovoltaic (PV) power plants is usually carried out using a combination of several manual methods which are often laborious, time consuming and prone to human errors. In order to mitigate these issues, an automated statistical risk analysis based on FMECA (failure mode effect criticality analysis) is necessary. The automated program developed in this work using MATLAB generates about 20 different reliability risk plots in about 3-4 minutes without the need of several manual labor hours traditionally spent for these analyses. The primary focus of this project is to automatically generate Risk Priority Number (RPN) for each performance defect and safety failure based on two Excel spreadsheets: Defect rate spreadsheet; Degradation rate spreadsheet. Automation involves two major programs - one to calculate Global RPN (Sum of Performance RPN and Safety RPN) and the other to find the correlation of defects with I-V parameters' degradations. Based on the generated RPN and other reliability plots, warranty claims for material defect and degradation rate may be made by the system owners.
AB - Statistical risk analysis on the field observed defects/failures in the photovoltaic (PV) power plants is usually carried out using a combination of several manual methods which are often laborious, time consuming and prone to human errors. In order to mitigate these issues, an automated statistical risk analysis based on FMECA (failure mode effect criticality analysis) is necessary. The automated program developed in this work using MATLAB generates about 20 different reliability risk plots in about 3-4 minutes without the need of several manual labor hours traditionally spent for these analyses. The primary focus of this project is to automatically generate Risk Priority Number (RPN) for each performance defect and safety failure based on two Excel spreadsheets: Defect rate spreadsheet; Degradation rate spreadsheet. Automation involves two major programs - one to calculate Global RPN (Sum of Performance RPN and Safety RPN) and the other to find the correlation of defects with I-V parameters' degradations. Based on the generated RPN and other reliability plots, warranty claims for material defect and degradation rate may be made by the system owners.
KW - Correlation
KW - FMECA
KW - MATLAB
KW - PV power plants
KW - Photovoltaic power plants
KW - RPN
UR - http://www.scopus.com/inward/record.url?scp=85048501945&partnerID=8YFLogxK
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U2 - 10.1109/PVSC.2017.8366377
DO - 10.1109/PVSC.2017.8366377
M3 - Conference contribution
AN - SCOPUS:85048501945
T3 - 2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017
SP - 3038
EP - 3043
BT - 2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 44th IEEE Photovoltaic Specialist Conference, PVSC 2017
Y2 - 25 June 2017 through 30 June 2017
ER -