ИСПОЛЬЗОВАНИЕ РЕШЕНИЙ ОБРАТНОЙ ЗАДАЧИ ЛИНЕЙНЫХ ПРОЦЕССОВ АВТОРЕГРЕССИИ ДЛЯ МОДЕЛИРОВАНИЯ ВИБРАЦИОННЫХ СИГНАЛОВ УЗЛОВ ЭЛЕКТРОТЕХНИЧЕСКОГО ОБОРУДОВАНИЯ
A method for finding the characteristic function of the generating process for a linear autoregressive process with a negative binomial distribution is considered. To solve such a problem, which is called the inverse problem, the properties of the characteristic function of a stationary linear rando...
Збережено в:
| Дата: | 2016 |
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| Автор: | |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
Інститут електродинаміки НАН України, Київ
2016
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| Теми: | |
| Онлайн доступ: | https://techned.org.ua/index.php/techned/article/view/826 |
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| Назва журналу: | Technical Electrodynamics |
Репозитарії
Technical Electrodynamics| Резюме: | A method for finding the characteristic function of the generating process for a linear autoregressive process with a negative binomial distribution is considered. To solve such a problem, which is called the inverse problem, the properties of the characteristic function of a stationary linear random process of autoregression are used, which can be represented both in the Kolmogorov canonical form and in the form of a linear random process with discrete time, as well as the transformation kernel for such a process. An example of finding a characteristic function for a second-order linear autoregressive process with a negative binomial distribution is presented. The application of the obtained results to find the characteristic function of the vibration signal of a wind generator is shown. References 14, figure 1. |
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