Improved time-variable transformer-based fault diagnosis method for satellite attitude control system

Wei Zhang, Sida Chen, Sheng Gao, Zhaoguang Wang, Qinkun Cheng
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Abstract

This study proposes a fault diagnosis method based on a time-variable transformer network for satellite attitude control system telemetry data, which has the properties of a time series and strong multivariate correlation. First, a time-attention module was utilised to determine the correlation between the data at a specific time and before that time to effectively identify the dynamic properties of the data. A variable attention module is introduced to capture the degree of correlation between various variables to achieve multivariate decoupling. Then, the interactive attention layer combines the dynamic properties of the data with the correlations between the variables to achieve dynamic data decorrelation. Finally, a linear layer is used to implement the fault diagnosis.
卫星姿态控制系统基于时变变压器的改进型故障诊断方法
本研究针对卫星姿态控制系统遥测数据提出了一种基于时变变压器网络的故障诊断方法,该方法具有时间序列和强多元相关性的特性。首先,利用时间关注模块确定特定时间和该时间之前数据之间的相关性,以有效识别数据的动态属性。引入变量关注模块是为了捕捉各种变量之间的相关程度,以实现多元解耦。然后,交互式关注层将数据的动态属性与变量之间的相关性结合起来,实现动态数据解相关。最后,利用线性层实现故障诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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