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Application of the Singular Spectrum Analysis on electroluminescence images of thin-film photovoltaic modules

2021-09-09 06:03:11
Evgenii Sovetkin, Bart E. Pieters
arXiv_CV
   
Abstract

This paper discusses an application of the singular spectrum analysis method (SSA) in the context of electroluminescence (EL) images of thin-film photovoltaic (PV) modules. We propose an EL image decomposition as a sum of three components: global intensity, cell, and aperiodic components. A parametric model of the extracted signal is used to perform several image processing tasks. The cell component is used to identify interconnection lines between PV cells at sub-pixel accuracy, as well as to correct incorrect stitching of EL images. Furthermore, an explicit expression of the cell component signal is used to estimate the inverse characteristic length, a physical parameter related to the resistances in a PV module.

Abstract (translated)

URL

https://arxiv.org/abs/2109.04048

PDF

https://arxiv.org/pdf/2109.04048.pdf

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