Automation of risk priority number calculation of photovoltaic modules

Mathan Kumar Moorthy, Govindasamy Tamizhmani

Research output: ResearchConference contribution

  • 1 Citations

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.

LanguageEnglish (US)
Title of host publication2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1730-1735
Number of pages6
Volume2016-November
ISBN (Electronic)9781509027248
DOIs
StatePublished - Nov 18 2016
Event43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 - Portland, United States
Duration: Jun 5 2016Jun 10 2016

Other

Other43rd IEEE Photovoltaic Specialists Conference, PVSC 2016
CountryUnited States
CityPortland
Period6/5/166/10/16

Fingerprint

Automation
Defects
Spreadsheets
Degradation
Risk analysis
Failure modes
MATLAB
Power plants
Personnel

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

Moorthy, M. K., & Tamizhmani, G. (2016). Automation of risk priority number calculation of photovoltaic modules. In 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016 (Vol. 2016-November, pp. 1730-1735). [7749920] Institute of Electrical and Electronics Engineers Inc.. DOI: 10.1109/PVSC.2016.7749920

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: ResearchConference contribution

Moorthy, MK & Tamizhmani, G 2016, Automation of risk priority number calculation of photovoltaic modules. in 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016. vol. 2016-November, 7749920, Institute of Electrical and Electronics Engineers Inc., pp. 1730-1735, 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016, Portland, United States, 6/5/16. DOI: 10.1109/PVSC.2016.7749920
Moorthy MK, Tamizhmani G. Automation of risk priority number calculation of photovoltaic modules. In 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016. Vol. 2016-November. Institute of Electrical and Electronics Engineers Inc.2016. p. 1730-1735. 7749920. Available from, DOI: 10.1109/PVSC.2016.7749920
Moorthy, Mathan Kumar ; Tamizhmani, Govindasamy. / Automation of risk priority number calculation of photovoltaic modules. 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016. Vol. 2016-November Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1730-1735
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