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Fault diagnosis method of link control system for gravitational wave detection
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作者 GAO Ai XU Shengnan +2 位作者 ZHAO Zichen SHANG Haibin XU Rui 《Journal of Systems Engineering and Electronics》 SCIE 2024年第4期922-931,共10页
To maintain the stability of the inter-satellite link for gravitational wave detection,an intelligent learning monitoring and fast warning method of the inter-satellite link control system failure is proposed.Differen... To maintain the stability of the inter-satellite link for gravitational wave detection,an intelligent learning monitoring and fast warning method of the inter-satellite link control system failure is proposed.Different from the traditional fault diagnosis optimization algorithms,the fault intelligent learning method pro-posed in this paper is able to quickly identify the faults of inter-satellite link control system despite the existence of strong cou-pling nonlinearity.By constructing a two-layer learning network,the method enables efficient joint diagnosis of fault areas and fault parameters.The simulation results show that the average identification time of the system fault area and fault parameters is 0.27 s,and the fault diagnosis efficiency is improved by 99.8%compared with the traditional algorithm. 展开更多
关键词 large scale multi-satellite formation gravitational wave detection laser link monitoring fault diagnosis deep learning
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