Fault Detection Of Photo-Voltaic Modules Using Thermal Images

  • V. Jamuna et al.

Abstract

The improvements in an solar power industry and its importants will be more in future. Innovation in
nanotechnology can increase the efficiency of solar panels and multiple its electrical input in solar
power system. The degradation in the solar cells can reduce the power output and even it can failure
the solar panel. To maintain longer lifespan of solar panels and improve the power output the faults
in solar panels are diagnosed in an early stage. This project provides an solution for the diagnosis for
the solar panels using IR thermography. IR image are used to monitor the solar panels and Fuzzy rule
is used to classify the faults.IR images were acquired using an IR camera. The action need to taken
are classified on type of faults.

Published
2020-02-16
Section
Articles