Publication detail

Automation Capabilities of Solar Modules Defect Detection by Thermography

VANĚK, J. REPKO, I. KLÍMA, J.

Original Title

Automation Capabilities of Solar Modules Defect Detection by Thermography

Type

conference paper

Language

English

Original Abstract

This paper deals with the automation capabilities of defective solar modules detection by thermographic camera mounted on a dron or on the car roof. During thermography imaging analysis of large photovoltaic power plants there are captured large numbers of images. These images are then analyzed by human operators. Given the vast amount of images, which are sometimes very similar, and given of the specificity of some defects, the work of operators can be replaced by the automation recognizing of anomalies software. Two methods for the automatic detection of defects in thermal imaging pictures were developed and validated. First one method is based on the geometric information of tested modules and on the assumption that defective cell has an increased temperature along its whole surface and therefore will appear as a regular geometric shape which is recognizable by geometric comparisons. The second method does recognition by usage of trained artificial neural network.

Keywords

Solar module, solar cell, defect, detection, thermography, automatic

Authors

VANĚK, J.; REPKO, I.; KLÍMA, J.

Released

7. 12. 2016

Publisher

ECS Transaction

Location

USA

ISBN

978-80-214-5384-5

Book

17th International Conference on Advanced Batteries, Accumulators and Fuel Cells (ABAF 2016)

ISBN

1938-5862

Periodical

ECS Transactions

Year of study

74

Number

1

State

United States of America

Pages from

293

Pages to

303

Pages count

10

BibTex

@inproceedings{BUT131401,
  author="Jiří {Vaněk} and Ilia {Repko} and Jakub {Klíma}",
  title="Automation Capabilities of Solar Modules Defect Detection by Thermography",
  booktitle="17th International Conference on Advanced Batteries, Accumulators and Fuel Cells (ABAF 2016)",
  year="2016",
  journal="ECS Transactions",
  volume="74",
  number="1",
  pages="293--303",
  publisher="ECS Transaction",
  address="USA",
  doi="10.1149/07401.0293ecst",
  isbn="978-80-214-5384-5",
  issn="1938-5862"
}