Autors: Lozanov, Y. Y., Tzvetkova, S. G.
Title: A methodology for processing of thermographic images for diagnostics of electrical equipment
Keywords: thermography, diagnostic of electrical equipment, diagnostic

Abstract: The paper presents a methodology for processing thermographic images for improving accuracy and reducing the duration of the electrical equipment diagnostics process by using thermovision.

References

    Issue

    2019 11th Electrical Engineering Faculty Conference (BulEF), 2019, Bulgaria,

    Copyright Institute of Electrical and Electronics Engineers IEEE

    Full text of the publication

    Цитирания (Citation/s):
    1. Lozanov, Y., Tzvekova, S., Petleshkov, A., Use of machine learning techniques for classification of thermographic image, 2020 12th Electrical Engineering Faculty Conference, BulEF 2020, Varna; Bulgaria; 9-12 September 2020, DOI: 10.1109/BulEF51036.2020.9326046 (IEEE Xplore), ISBN: 978-1-7281-9439-4. - 2020 - в издания, индексирани в Scopus или Web of Science
    2. Zhao H., Liu B,Wang L., Wang K., Peng Y., Blind Super Resolution for Infrared Image of Power Equipment Based on Compressed Sensing, Dianwang Jishu/Power System TechnologyVolume 46, Issue 3, Pages 1177 - 1185, DOI 10.13335/j.1000-3673.pst.2021.0486, ISSN 10003673 - 2022 - в издания, индексирани в Scopus или Web of Science
    3. Wang, Y., Zhang, J., Wang, L., Compressed Sensing Super-Resolution Method for Improving the Accuracy of Infrared Diagnosis of Power Equipment, Applied Sciences (Switzerland), Open Access, Volume 12, Issue 8, April-2 2022, DOI: 10.3390/app12084046, ISSN: 20763417, pp. 1-19 - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus