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
立足于空间引力波探测对NPRO激光器多频段强度噪声的抑制需求,设计完成一款可用于实现NPRO激光器毫赫兹频段强度噪声和中频段弛豫振荡峰同时探测的低噪声光电探测器。该光电探测器采用零漂移运算放大器与高速运算放大器相结合的电路拓...立足于空间引力波探测对NPRO激光器多频段强度噪声的抑制需求,设计完成一款可用于实现NPRO激光器毫赫兹频段强度噪声和中频段弛豫振荡峰同时探测的低噪声光电探测器。该光电探测器采用零漂移运算放大器与高速运算放大器相结合的电路拓扑结构实现毫赫兹频段内低探测噪声的同时具备15 MHz的探测带宽。该光电探测器的噪声在0.1 m Hz~1Hz频段内的绝对噪声水平低于1×10^(-7)V/Hz^(1/2),在100 k Hz~1 MHz内绝对噪声水平低于2×10^(-8)V/Hz^(1/2)。实测结果显示在0.1 m Hz~1 Hz频段内的绝对噪声水平低于1×10^(-6)V/Hz^(1/2),在100 k Hz~1 MHz内绝对噪声水平低于5×10^(-8)V/Hz^(1/2)。实际噪声水平可满足空间引力波项目对NPRO激光器毫赫兹频段内强度噪声和中频段弛豫振荡峰的探测需求,可用于相关噪声抑制实验研究。展开更多
基金This work was supported by the National Key Research and Development Program Topics(2020YFC2200902)the National Natural Science Foundation of China(11872110).
文摘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.
文摘立足于空间引力波探测对NPRO激光器多频段强度噪声的抑制需求,设计完成一款可用于实现NPRO激光器毫赫兹频段强度噪声和中频段弛豫振荡峰同时探测的低噪声光电探测器。该光电探测器采用零漂移运算放大器与高速运算放大器相结合的电路拓扑结构实现毫赫兹频段内低探测噪声的同时具备15 MHz的探测带宽。该光电探测器的噪声在0.1 m Hz~1Hz频段内的绝对噪声水平低于1×10^(-7)V/Hz^(1/2),在100 k Hz~1 MHz内绝对噪声水平低于2×10^(-8)V/Hz^(1/2)。实测结果显示在0.1 m Hz~1 Hz频段内的绝对噪声水平低于1×10^(-6)V/Hz^(1/2),在100 k Hz~1 MHz内绝对噪声水平低于5×10^(-8)V/Hz^(1/2)。实际噪声水平可满足空间引力波项目对NPRO激光器毫赫兹频段内强度噪声和中频段弛豫振荡峰的探测需求,可用于相关噪声抑制实验研究。
