QR Code (код быстрого отклика)

Co-attention learning cross time and frequency domains for fault diagnosis

Rolling machinery is ubiquitous in power transmission and transformation equipment, but it suffers from severe faults during long-term running. Automatic fault diagnosis plays an important role in the production safety of power equipment. This paper proposes a novel cross-domain co-attention network...

Полное описание

Сохранить в:
Библиографические подробности
Главные авторы: Ping Luo, Xinsheng Zhang, Ran Meng
Формат: Artigo
Язык:Inglês
Опубликовано: KeAi Communications Co. Ltd. 2023-01-01
Серии:Cognitive Robotics
Предметы:
Online-ссылка:http://www.sciencedirect.com/science/article/pii/S2667241323000095
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!