Hotspot Detection in Photovoltaic Module using Otsu Thresholding Method

被引:9
|
作者
Afifah, A. Najiah Nurul [1 ]
Indrabayu [2 ]
Suyuti, Ansar [1 ]
Syafaruddin [1 ]
机构
[1] Univ Hasanuddin, Dept Elect Engn, Makassar, Indonesia
[2] Univ Hasanuddin, Dept Informat, Makassar, Indonesia
关键词
Photovoltaic module; hotspot detection; thermal image; image processing;
D O I
10.1109/Comnetsat50391.2020.9328987
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The growth of enthusiasm in developing power from sustainable resources has promoted to rise in the setting up of photovoltaic system. However, after the installations, it is still very low awareness of checking the PV module condition. Early hotspot detection is necessary to keep the PV working. Thermal imaging is still considered as common technique for diagnosing hotspot. This study proposes to develop a method to recognize hotspot in photovoltaic module thermal images using image processing technique. There are three essential process consisting of pre-processing, segmentation with Otsu thresholding method and identification. The data used contains 6 cropped images. The average accuracy results achieve 92.16%. This value shows that the proposed method is suitable to contribute the development of hotspot detection in PV monitoring system.
引用
收藏
页码:408 / 412
页数:5
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