Multi-optional hybrid functions entropy doctrine advantages for a state maximal probability determination

• Autorzy: Goncharenko Andriy Viktorovich

Identyfikatory

DOI

10.2478/tar-2020-0004

Warianty tytułu

PL

Multiopcjonalna hybrydowa funkcja entropii jako zasada dla określenia maksymalnego prawdopodobieństwa stanu systemu dynamicznego

• Języki publikacji: EN

Abstrakty

EN

The presented paper considers a comparison of the traditional methods for the state maximal probability determination to the proposed hybrid probabilistic and variational concept. It is shown the advantages of the described multi-optional hybrid-effectiveness functions uncertainty measure conditional optimization doctrine in the sense of avoiding the traditional ways analytical complicatedness concerning the maximal probability of the possible state determination. The results of the numerical example are presented.

PL

W prezentowanym artykule rozważono porównanie tradycyjnych metod określania maksymalnego prawdopodobieństwa stanu systemu dynamicznego z zaproponowaną hybrydową koncepcją probabilistyczną i wariacyjną. pokazano zalety opisanej wielo opcjonalnej funkcji hybrydowo-efektywnościowej niepewności pomiaru i zasadę optymalizacji warunkowej w tym sensie, że prezentowana koncepcja unika tradycyjnych metod analitycznych dotyczących maksymalnego prawdopodobieństwa możliwego określenia stanu układu dynamicznego. Niezawodność urządzeń technicznych w dużym stopniu zależy od stanu systemu utrzymania ruchu i konserwacji. Entropia określenia stanu pozwala na uwzględnienie czynników niepewności działających podczas eksploatacji, obsługi technicznej i naprawy wszelkiego rodzaju obiektów inżynieryjnych, na przykład statków powietrznych. W końcowej części przedstawiono wyniki przykładu numerycznego.

Słowa kluczowe

EN

entropy; dynamic state; risk; Markovian random process

PL

entropia; system dynamiczny; ryzyko; procesy Markowa

• Wydawca: Wydawnictwa Naukowe Sieci Badawczej Łukasiewicz - Instytutu Lotnictwa
• Czasopismo: Transactions on Aerospace Research
• Rocznik: 2020
• Tom: Nr 1 (258)
• Strony: 53--65
• Opis fizyczny: Bibliogr. 40 poz., wzory

Twórcy

autor

Goncharenko Andriy Viktorovich

• National Aviation University, Aerospace Faculty, Kosmonavta Komarova Avenue, Kyiv, 03058, Ukraine

Bibliografia

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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).