Abstract
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.
| Language | English (US) |
|---|---|
| Title of host publication | 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1730-1735 |
| Number of pages | 6 |
| Volume | 2016-November |
| ISBN (Electronic) | 9781509027248 |
| DOIs | |
| State | Published - Nov 18 2016 |
| Event | 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 - Portland, United States Duration: Jun 5 2016 → Jun 10 2016 |
Other
| Other | 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 |
|---|---|
| Country | United States |
| City | Portland |
| Period | 6/5/16 → 6/10/16 |
Fingerprint
Keywords
- correlation
- FMECA
- MATLAB
- Photovoltaic power plants
- PV power plants
- RPN
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
Cite this
Automation of risk priority number calculation of photovoltaic modules. / Moorthy, Mathan Kumar; Tamizhmani, Govindasamy.
2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016. Vol. 2016-November Institute of Electrical and Electronics Engineers Inc., 2016. p. 1730-1735 7749920.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Automation of risk priority number calculation of photovoltaic modules
AU - Moorthy,Mathan Kumar
AU - Tamizhmani,Govindasamy
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 - correlation
KW - FMECA
KW - MATLAB
KW - Photovoltaic power plants
KW - PV power plants
KW - RPN
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
VL - 2016-November
SP - 1730
EP - 1735
BT - 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -