Title :
Application of neural networks to diagnostics of pumping-rod units
Author_Institution :
Inst. of Appl. Math., Baku State Univ., Baku, Azerbaijan
Abstract :
The paper is devoted to carrying out of diagnostics defects occurring in deep-well pumping-rod by means of neural networks. Here the problem is reduced to finding of dynamograms corresponding to different defects and this is carried out by means of neural networks.
Keywords :
condition monitoring; neural nets; oil technology; production engineering computing; pumps; deep-well pumping-rod; diagnostics defect; dynamogram; neural network; diagnostics; dynamograms; neural networks;
Conference_Titel :
Problems of Cybernetics and Informatics (PCI), 2012 IV International Conference
Conference_Location :
Baku
Print_ISBN :
978-1-4673-4500-2
DOI :
10.1109/ICPCI.2012.6486338
