Detection of Abrupt and Incipient Faults in Solar Combisystems with Artificial Neural Networks

International Scientific Conference "Environmental and Climate Technologies": Abstract Book 2013
Lelde Timma, Dagnija Blumberga

The paper presents the application of artificial neural networks for detection of abrupt and incipient fault in solar combisystems. An experimental system, deterministic mathematical model and numerical model were used in the work. The results show that the incorporation of a developed fault detection tool within the solar combisystem raises the performance and reliability of operation.

Keywords
abrupt and incipient faults, artificial neural networks, fault detection tool, solar combisystems

Timma, L., Blumberga, D. Detection of Abrupt and Incipient Faults in Solar Combisystems with Artificial Neural Networks. In: International Scientific Conference "Environmental and Climate Technologies": Abstract Book, Latvia, Rīga, 14-16 October, 2013. Riga: Institute of Energy Systems and Environment, 2013, pp.17-17. ISBN 978-9934-8302-8-0.

Publication language
English (en)