TY - GEN
T1 - Automation of risk priority number calculation of photovoltaic modules
AU - Moorthy, Mathan Kumar
AU - Tamizhmani, Govindasamy
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/18
Y1 - 2016/11/18
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 - FMECA
KW - MATLAB
KW - PV power plants
KW - Photovoltaic power plants
KW - RPN
KW - correlation
UR - http://www.scopus.com/inward/record.url?scp=85003587475&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85003587475&partnerID=8YFLogxK
U2 - 10.1109/PVSC.2016.7749920
DO - 10.1109/PVSC.2016.7749920
M3 - Conference contribution
AN - SCOPUS:85003587475
T3 - Conference Record of the IEEE Photovoltaic Specialists Conference
SP - 1730
EP - 1735
BT - 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016
Y2 - 5 June 2016 through 10 June 2016
ER -