Application of the Singular Spectrum Analysis on Electroluminescence Images of Thin-Film Photovoltaic Modules

Evgenii Sovetkin () and Bart E. Pieters
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Evgenii Sovetkin: IEK5-Photovoltaik
Bart E. Pieters: IEK5-Photovoltaik

A chapter in Artificial Intelligence, Big Data and Data Science in Statistics, 2022, pp 321-342 from Springer

Abstract: 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 a 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.

Keywords: Singular spectrum analysis (SSA); ESPRIT; Electroluminescence images; Photovoltaics; Thin-film modules (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-07155-3_14

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DOI: 10.1007/978-3-031-07155-3_14

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