DocumentCode
1676043
Title
Application of neural networks to diagnostics of pumping-rod units
Author
Habashi, Y.G.
Author_Institution
Inst. of Appl. Math., Baku State Univ., Baku, Azerbaijan
fYear
2012
Firstpage
1
Lastpage
2
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Problems of Cybernetics and Informatics (PCI), 2012 IV International Conference
Conference_Location
Baku
Print_ISBN
978-1-4673-4500-2
Type
conf
DOI
10.1109/ICPCI.2012.6486338
Filename
6486338
Link To Document