Title :
Solution of the electrical equipment technical state assessment problem using MATLAB
Author :
Khalyasmaa, A.I. ; Babushkina, Natalia A. ; Dmitriev, S.A. ; Glushkov, Daniil A.
Author_Institution :
Ural Fed. Univ. named after the first President of Russia B.N. Yeltsin, Ekaterinburg, Russia
fDate :
June 30 2014-July 4 2014
Abstract :
Today Enterprise Asset Management (EAM) is one of the main problems for grid companies in Russia. After the collapse of the USSR electrical substation are owned by energy companies. In the USSR equipment maintenance was carried out using the planned preventive maintenance system but it is economically inefficient in the current market conditions. Therefore today to solve the equipment technical state assessment task is necessary to use a new tool that allows operating the equipment according to his actual state. Such tools are diagnostic methods.
Keywords :
asset management; electrical maintenance; mathematics computing; power engineering computing; preventive maintenance; substations; MATLAB; Russia; USSR electrical substation; USSR equipment maintenance; diagnostic methods; electrical equipment technical state assessment problem; energy companies; enterprise asset management; grid companies; preventive maintenance system; Biological neural networks; Companies; Fuzzy logic; MATLAB; Mathematical model; Standards; Substations;
Conference_Titel :
Computer Technologies in Physical and Engineering Applications (ICCTPEA), 2014 International Conference on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4799-5315-8
DOI :
10.1109/ICCTPEA.2014.6893285
