|Autors: Stoynova, A. V.|
Title: System with Infrared Thermography for Diagnostics of Batteries' Technical Condition
Keywords: battery diagnostics , neural network , information and measu
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.
Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science