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Detection of Defects in Solar Panels using Thermal Imaging by PCA and ICA Method

Author(s):

Farhan Ali Khan , hindustan college of science & technology; Sanjay Singh, hcst

Keywords:

Solar Cell Imagining, Value Decomposition for Lower Band, CCD, Si-CCD, PCA (Principle Components Analysis), ICA (Independent Component Analysis)

Abstract

For good efficiency, fast, reliable and smooth operation of any process we need a failure free operation. It gives a high production and also ensures high return on investments. A failure free operation is of fundamental importance for modern commercial solar power plants to achieve higher power generation efficiency and longer panel life. So a simple and reliable panel evaluation method is required to ensure that. By using thermal infrared imaging, glitches or defects in the solar panels can be easily detected without having to incorporate expensive electrical detection circuitry. In this paper, we propose a solar panel defect detection system based on thermal imaging, which automates the inspection process and mitigates the need for manual panel inspection in a large solar farm. So in this way solar panels can be checked while in operation without disturbing the continuity of operation. So it saves lot of time and cost of detection.

Other Details

Paper ID: IJSRDV5I41494
Published in: Volume : 5, Issue : 4
Publication Date: 01/07/2017
Page(s): 1844-1846

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