Faults Detection for Photovoltaic Field Based on K-Means, Elbow, and Average Silhouette Techniques through the Segmentation of a Thermal Image

Joint Authors

Et-taleby, Abdelilah
Boussetta, Mohammed
Benslimane, Mohamed

Source

International Journal of Photoenergy

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-04

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Chemistry

Abstract EN

Clustering or grouping is among the most important image processing methods that aim to split an image into different groups.

Examining the literature, many clustering algorithms have been carried out, where the K-means algorithm is considered among the simplest and most used to classify an image into many regions.

In this context, the main objective of this work is to detect and locate precisely the damaged area in photovoltaic (PV) fields based on the clustering of a thermal image through the K-means algorithm.

The clustering quality depends on the number of clusters chosen; hence, the elbow, the average silhouette, and NbClust R package methods are used to find the optimal number K.

The simulations carried out show that the use of the K-means algorithm allows detecting precisely the faults in PV panels.

The excellent result is given with three clusters that is suggested by the elbow method.

American Psychological Association (APA)

Et-taleby, Abdelilah& Boussetta, Mohammed& Benslimane, Mohamed. 2020. Faults Detection for Photovoltaic Field Based on K-Means, Elbow, and Average Silhouette Techniques through the Segmentation of a Thermal Image. International Journal of Photoenergy،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1173176

Modern Language Association (MLA)

Et-taleby, Abdelilah…[et al.]. Faults Detection for Photovoltaic Field Based on K-Means, Elbow, and Average Silhouette Techniques through the Segmentation of a Thermal Image. International Journal of Photoenergy No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1173176

American Medical Association (AMA)

Et-taleby, Abdelilah& Boussetta, Mohammed& Benslimane, Mohamed. Faults Detection for Photovoltaic Field Based on K-Means, Elbow, and Average Silhouette Techniques through the Segmentation of a Thermal Image. International Journal of Photoenergy. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1173176

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1173176