Authors :
Dr. Renuka Devi S M; S.Keerthana; B.Akhila; G. Meghana; K. Meghana
Volume/Issue :
Volume 8 - 2023, Issue 4 - April
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://shorturl.at/nzBGR
DOI :
https://doi.org/10.5281/zenodo.8281401
Abstract :
Photovoltaic (PV) module monitoringand
upkeep are essential for a dependable and effective
operation. Due to hotspots in PV modules brought on by
a variety of flaws and operational issues, the
dependability of the PV system may be put in jeopardy.
Hotspots should be found and categorized from a
monitoring perspective for later maintenance. In this
study, hotspots are identified, assessed, and categorized
using thermal pictures of PV modules and a machine
learning technique. To do this, categorization is based on
the texture and histogramof gradient (HOG) features of
thermal pictures of PV modules. The machine learning
method like Naive Bayes (nBayes) classifier is used to
train the images in order to identify the hotspots and
classifies them into defective and non-defective images.
Keywords :
Hotspots, Monitoring, Photovoltaic (PV) Modules, Naive Bayes Classifier, Texture and Histogram of Gradients (HOG) Thermal Images.
Photovoltaic (PV) module monitoringand
upkeep are essential for a dependable and effective
operation. Due to hotspots in PV modules brought on by
a variety of flaws and operational issues, the
dependability of the PV system may be put in jeopardy.
Hotspots should be found and categorized from a
monitoring perspective for later maintenance. In this
study, hotspots are identified, assessed, and categorized
using thermal pictures of PV modules and a machine
learning technique. To do this, categorization is based on
the texture and histogramof gradient (HOG) features of
thermal pictures of PV modules. The machine learning
method like Naive Bayes (nBayes) classifier is used to
train the images in order to identify the hotspots and
classifies them into defective and non-defective images.
Keywords :
Hotspots, Monitoring, Photovoltaic (PV) Modules, Naive Bayes Classifier, Texture and Histogram of Gradients (HOG) Thermal Images.
