Regularizing algorithms for diagnosing

Name: Regularizing algorithms for diagnosing
Brand: OMNIScriptum
SKU: 6048847242
Price: 1111 RUB
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Артикул Маркета

6048847242

ISBN

9783659496004

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мягкий

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офсетная

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Regularizing algorithms for diagnosing

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Т8 Издательские Технологии

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Печатная книга «Regularizing algorithms for diagnosing» в мягкой обложке, язык - английский. В книге 116 страниц, она напечатана на белой офсетной бумаге плотностью 80 г/м². Формат издания — 152x229 мм. Все книги аккуратно упаковываем в прочный трёхслойный непрозрачный картонный конверт.
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.