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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.
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L'autore
Sergey A. Andreyev, Transport and Telecommunication Institute, Latvia. Specialist in computer sciences, mathematical modelling, reliability and fault diagnosis of complicated objects and systems.Sharif E. Guseynov, Liepaja University, Latvia. Specialist in mathematical modelling, ill-posed and inverse problems, PDF, theory of optimization.
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Regularizing algorithms for diagnosing
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LAP LAMBERT Academic Publishing Dez 2013, 2013
ISBN 10: 3659496006
ISBN 13: 9783659496004
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 116 pp. Englisch. Codice articolo 9783659496004
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Regularizing algorithms for diagnosing : Applied to gas turbine engines in operation
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659496006
ISBN 13: 9783659496004
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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. Codice articolo 9783659496004
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Regularizing Algorithms for Diagnosing
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
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Condizione: New. pp. 116. Codice articolo 26127004795
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Regularizing Algorithms for Diagnosing
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
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Condizione: New. Print on Demand pp. 116 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Codice articolo 132534180
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Regularizing Algorithms for Diagnosing
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VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659496006
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Condizione: New. PRINT ON DEMAND pp. 116. Codice articolo 18127004785
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Regularizing algorithms for diagnosing
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LAP LAMBERT Academic Publishing Dez 2013, 2013
ISBN 10: 3659496006
ISBN 13: 9783659496004
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Codice articolo 9783659496004
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Regularizing algorithms for diagnosing | Applied to gas turbine engines in operation
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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. Codice articolo 105540399
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Regularizing algorithms for diagnosing: Applied to gas turbine engines in operation
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LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659496006
ISBN 13: 9783659496004
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA82936594960066
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