Registration Number
0222U003460,
0116U005649
, R & D reports
Title
Development of the theory, methods and means of nonlinear dynamic systems monitoring and diagnosis for power systems
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Head
Verlan Anatoliy Fedorovych, Доктор технічних наук
Registration Date
29-03-2022
Organization
Pukhov Institute for Modelling in Energy Engineering National Academy of Sciences of Ukraine
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Quote about NDR: 183 pp., 54 pics, 16 tab., 295 sources.
Key words: POWER AND ENERGY INSTALLATIONS, INFORMATIONAL MODELS, DIAGNOSTIC MODELS, METHODS AND TECHNIQUES FOR CONTROL, DIAGNOSTICS OF NON-LINEAR DYNAMIC SYSTEMS.
Object of study: the process of diagnosing non-linear dynamic objects of energy orientation. Meta Robots: stvorennya that rozvitok model-orієntovanih іdentifіkatsіynih metodіv i zasobіv control that dіagnostuvannya lіnіynih i nelіnіynih dinamіchnih systems in problems zabezpechennya yakostі funktsіonuvannya mainly vuzlіv powerplant energetichnih installations on osnovі zastosuvannya іntegralnih ically mathematical models of rozrobkoyu efektivnosti obchislyuvalnih algoritmіv i software zasobіv.
Methods of follow-up are based on the results, which were achieved by the authors of the simulation of dynamic systems IPME im. G.Є. Pukhov of the National Academy of Sciences of Ukraine on the development of problems in the dynamics of folding non-uniform systems based on integral dynamic models, as well as on the use of advanced identification methods for diagnosing folding technical objects. HEAD NAUKOVO result robots Je rozvitok theoreticity bases pobudovi dіagnostichnih models rozrobka metodіv that bazovoї IT іdentifіkatsії nelіnіynih іnertsіynih ob'єktіv systems tehnіchnoї dіagnostiki scho zabezpechuyut dostovіrnіst that operativnіst virіshennya applied problems dіagnostuvannya ob'єktіv rіznoї nature in Minds nepovnoї aprіornoї Informácie. The V-model for the improvement of the system of technical diagnostics was proposed. The method of deterministic identification of non-linear inertial OD in terms of integral non-parametric dynamical models, which are generated after the data of the “input–output” experiment with different test stations of rich step signals, has been developed. Tse allows minimizing methodical mistakes in identifying information models, changing the amount of calculation and improving the accuracy of OD modeling.
A number of practical
Product Description
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Ivaniuk Vitalii A.
Anatienko Liudmyla M.
Verlan Anatoliy Fedorovich
Diachuk Oleksandr A
Mytko Lidiia O
Pavlenko Vitalij D
Polozhaienko Serhii A
Fedorchuk Volodymyr A.
Fomin Oleksandr O.
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2022-03-29
