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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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Применить Всего найдено 2. Отображено 2.
02-05-2023 дата публикации

Transformer vibration detection method, system and equipment and storage medium

Номер: CN116049638A
Автор: CHEN XIANCHAO, LIU YANG, ZHANG JIEMING, GAO YIFAN, CHEN YIZHE, CHEN ZHANCHEN, CHEN ZHONGYING, LI BO, LIANG YANZHI, CHEN JINCHENG
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The invention discloses a transformer vibration detection method, a transformer vibration detection system, transformer vibration detection equipment and a storage medium. On one hand, a global-local cross comparison attention network is proposed to enhance interaction between a global image and a local highlight area; on the second aspect, a fault-normal cross comparison attention network is proposed to establish comparison between a fault image and a normal image, local features of the fault image are further determined, more complementary parts are found and recognized, and layering and classification of faults with smaller fine grit are evaluated more effectively; and on the third aspect, an offline training mode is adopted for the double cross comparison attention network, the attention network is further optimized, meanwhile, the operation speed of online fault detection is increased, finally, short-time fault prediction is performed on images without faults, and the data images after ...

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Номер записи: 1
16-05-2023 дата публикации

Perception method of multi-mode high-voltage switch and related device

Номер: CN116129247A
Автор: ZHANG JIEMING, GAO YIFAN, LI BO, LIU YANG, CHEN XIANCHAO, CHEN ZHANCHEN, CHEN YIZHE, LIANG YANZHI, CHEN JINCHENG, CHEN ZHONGYING
Принадлежит:

The invention discloses a sensing method of a multi-mode high-voltage switch and a related device, and the method comprises the steps: obtaining the detection data and image data of a high-voltage switch state detection sensor, combining the detection data with the image data, and judging the state of the high-voltage switch through introducing a switch state weight matrix; performing binary coding on the switch weight matrix to obtain a binary time sequence and an environmental factor weight matrix, and decomposing the binary time sequence into a plurality of stationary time subsequences through a wavelet decomposition technology; training the prediction network model through the stationary time subsequence, and inputting the binary time sequence into the trained prediction network model to obtain a prediction time subsequence; and performing sequence reconstruction on the prediction time sub-sequence to obtain a prediction time reconstruction sequence, and introducing the prediction time ...

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Номер записи: 2