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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Поддерживает ввод нескольких поисковых фраз (по одной на строку). При поиске обеспечивает поддержку морфологии русского и английского языка
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Применить Всего найдено 3. Отображено 3.
04-02-2015 дата публикации

Method for detecting closely spaced frequency components of non-stationary signals

Номер: CN104330624A
Принадлежит:

The invention discloses a method for detecting closely spaced frequency components of non-stationary signals. The method comprises the following steps: performing EMD on non-stationary signals to be detected, and then obtaining the frequency spectrum and limit spectrum of the non-stationary signals to be detected through Hilbert transformation; obtaining the value of each frequency component through processing frequency spectrum graph data, and extracting signals with different frequency components by use of a filtering method; determining whether each frequency component comprises multiple frequency values which are not separated through AMD; if a frequency aliasing phenomenon occurs in the signals, performing the AMD on the frequency components, and separating signals with similar frequencies; and then performing operation on the separated signals according to a previous step sequence until single-frequency signals are separated, such that it can be ensured that the decomposed signals ...

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03-06-2015 дата публикации

Method for removing mode mixing in empirical mode decomposition (EMD) based on AMD (Analytical Mode Decomposition)

Номер: CN104680011A
Принадлежит:

The invention discloses a method for removing mode mixing in empirical mode decomposition (EMD) based on AMD (Analytical Mode Decomposition). The method comprises the following steps: (1) EMD on original signals is carried out so as to obtain each intrinsic mode function (IMF), and whether each IMF is subjected to a mode mixing phenomenon or not is observed; (2) the instantaneous frequency characteristic of a first intrinsic mode function (IMF1) is solved, and whether the mode mixing phenomenon exists or not can be judged according to the instantaneous frequency characteristic; (3) if the instantaneous frequency of the IMF1 has frequency components with relatively large difference, the condition that the mode mixing phenomenon occurs is indicated, and the start-stop time of discontinuous signals can be obtained according to the instantaneous frequency; (4) if the mode mixing phenomenon exists, a binary frequency value is determined according to the frequency components in the instantaneous ...

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03-06-2015 дата публикации

Rotary mechanical fault diagnosis method based on analytical modal decomposition

Номер: CN104677580A
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The invention relates to a rotary mechanical fault diagnosis method based on analytical modal decomposition. The rotary mechanical fault diagnosis method comprises the following steps: (1) if the fault character frequencies possibly existing in a certain rotary machine are f1, f2, f3, ..., fn, carrying out the analytical modal decomposition on original vibration signals, and extracting the signals of frequency bands of the fault character frequencies; (2) determining the frequency spectrums of all the extracted signals to determine whether the components of the fault character frequencies exist in the frequency spectrums; (3) maintaining the signal frequency spectrums with the fault character frequencies, and removing the frequency spectrums without the fault character frequencies; (4) setting the fault character frequencies contained in the signals extracted through the analytical modal decomposition method to be f1, f2, f3, ..., fm, and judging whether faults and parts with failure exist ...

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