The use of fuzzy neural structures to increase the reliability of drilling platforms

Annals of DAAAM and Proceedings of the International DAAAM Symposium

Volumn 2015-January, Issue , 2015, Pages 672-677

  Anatoliy, Nyrkov ^a,b   Chernyi, Sergei ^a,b   Zhilenkov, Anton ^a,b   Sokolov, Sergey ^a,b  

^a ADMIRAL MAKAROV STATE UNIVERSITY OF MARITIME AND INLAND SHIPPING   (Russian Federation)

^b KERCH STATE MARITIME TECHNOLOGICAL UNIVERSITY   (Russian Federation)

Author keywords

Active Harmonic Conditioner; Artificial Neuron Network; Autonomous Energy System; Fuzzy Logic; Voltage Deviation

Indexed keywords

COMPUTATION THEORY; COMPUTER CIRCUITS; CONTROLLERS; DRILLING PLATFORMS; ELECTRIC LOSSES; ELECTRIC POWER SYSTEMS; FUZZY INFERENCE; FUZZY LOGIC; MATLAB; NEURAL NETWORKS; RECONFIGURABLE HARDWARE; SEMICONDUCTOR DEVICES;

ACTIVE HARMONIC CONDITIONER; ARTIFICIAL NEURON NETWORKS; ELECTRIC POWER QUALITY; ELECTRICAL POWER SYSTEM; ENERGY SYSTEMS; FILTER COMPENSATIONS; FUZZY LOGIC CONTROLLERS; VOLTAGE DEVIATIONS;

POWER QUALITY;

EID: 84987607088     PISSN: 17269679     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2507/26th.daaam.proceedings.091     Document Type: Conference Paper

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