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Regularizing algorithms diagnosing applied di andreyev sergey (3 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2013

    3659496006 / 9783659496004

    • Brossura

    Da: preigu, Osnabrück, Germaniapreigu

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    Condizione: Nuovo

    EUR 48,15

    EUR 70,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 5 disponibili

    Taschenbuch. Condizione: Neu. Regularizing algorithms for diagnosing | Applied to gas turbine engines in operation | Sergey Andreyev (u. a.) | Taschenbuch | 116 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659496004 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2013

    3659496006 / 9783659496004

    • Brossura

    Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

    Venditore con 4 stelle
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    Condizione: Nuovo

    EUR 185,17

    EUR 29,96 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2013

    3659496006 / 9783659496004

    • Brossura
    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 54,90

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this work several approaches of a stable method for construction of the diagnostic matrix for gas turbine engine are being researched, when initial data are given inexactly, and their maximal deviation estimation is known. The essence of the problem is the following: the equations in minor deviations describing the gas turbine engine give us system of linear algebraic equations AC=B, where the matrix C is called a diagnostic matrix, the matrix A components comprise the coefficients of the calculated parameters, and the matrix B components comprise the coefficients of measured parameters. However, as a rule the matrix A is sparse and ill-conditioned matrix, so there is a problem of stable inversion, as a result the problem becomes ill-posed. Therefore, methods of ill-posed problem theory are used: normal pseudosolution is searched instead of an exact solution (it is important to note that normal pseudosolution is not always approximates to the exact one) using classical Tikhonov's regularization method, however, that method causes inherent obstacles, which possible solutions are discovered. There are described 3 approaches of finding the regularization parameter.…