Autors: Stoynova, A. V.
Title: System with Infrared Thermography for Diagnostics of Batteries' Technical Condition
Keywords: battery diagnostics , neural network , information and measurement system , reliability , infrared thermography

Abstract: A smart method for classification of the technical condition of batteries using an information-measuring system for thermographiy diagnostics and forming a database of complex model thermograms and a neural network program analyzer, with in-depth training of complex model thermograms is proposed in the paper. This increases the accuracy of fault classification and allows automation of the decision for maintenance of controlled batteries.

References

    Issue

    XXX International Scientific Conference Electronics (ET), 2021, Bulgaria, IEEE, DOI 10.1109/ET52713.2021.9580141

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science