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Loboda I.I.
A more realistic presentation of measurement deviation errors in gas turbine diagnostic algorithms

Вид документа: Стаття періодики
Автор: Loboda I.I. Вид автора: персона
Мова: Англійська Обсяг: P. 68-77
УДК: 621.43.004.62

Аннотацiя:Gas path fault localization algorithms based on the pattern recognition theory are an important component of gas turbine monitoring systems. To simulate random measurement errors (noise) in description of fault classes, these algorithms usually involve theoretical random number distributions, like the Gaussian probability density function. A level of the simulated noise is determined on the basis of known information on typical maximum errors of different gas path sensors. However, not measurements themselves but their deviations from an engine baseline are input parameters for diagnostic algorithms. These deviations computed for real data have other error components in addition to simulated measurement inaccuracy. In this way, simulated and real deviation errors differ by an amplitude and distribution. Consequently, with such simulation, the performance of a diagnostic algorithm is poorly estimated, and therefore, the conclusion on algorithm efficiency may be wrong. To understand better noise peculia


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Є складовою частиною документа: Авиационно-космическая техника и технология

Відомості щодо головного
 Назва головного документа:Авиационно-космическая техника и технология
 Дата видання головного документа:2011
 Номер частини головного документа:5

Загальна інформація
 Бібліографія:Bibliogr.: 9 names

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