ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Degradation evaluation method for communication satellite traveling wave tubes based on full life cycle data
Received date: 2024-10-10
Revised date: 2024-11-11
Accepted date: 2024-12-10
Online published: 2024-12-30
Supported by
National Natural Science Foundation of China(62188101);Siyuan AI Science and Technology Collaborative Innovation Alliance(HTKJ2023SY502003);Leading Talent Team Project of Heilongjiang Province;Major Project for Basic and Applied Basic Research of Guangdong Province(2019B030302001);Shanghai Aerospace Science and Technology Innovation Fund(SAST2021-033)
Traveling Wave Tube （TWT） is a key component in communication satellites， typically operating in high-temperature and high-pressure environments for extended periods， making its degradation evaluation particularly important. Traditional mechanism models and threshold rule methods struggle to effectively represent degradation levels under complex electro-thermal coupling effects. To address this challenge， we propose a deep neural network degradation evaluation method based on a Multi-Scale Attention Encoder （MSA-Encoder）. First， the complex characteristics of telemetry data are analyzed in detail， exploring the difficulties these characteristics pose for training deep learning models and providing solutions. Second， the MSA-Encoder network is designed， which precisely captures the temporal and channel dependencies in multi-dimensional telemetry data through auto-correlation and Global-Local Channel Attention （GLCA） mechanisms， respectively， achieving accurate data reconstruction. Third， we propose a TWT degradation index calculation method based on Mahalanobis distance and moving average seasonal decomposition. This method calculates data drift index through reconstruction difference theory， followed by moving average seasonal decomposition to compute the degradation index. Finally， using the full life cycle TWT data from a certain communication satellite， a TWT degradation dataset is constructed， and numerical experiments are conducted on this dataset. The experimental results show that the MSA-Encoder surpasses benchmark models of the same parameter scale in telemetry data extraction capability， proving the reliability of the degradation index calculation.
Haotian ZHAO , Shi QIU , Ming LIU , Qichao GAI , Xibin CAO . Degradation evaluation method for communication satellite traveling wave tubes based on full life cycle data[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2025 , 46(12) : 331376 -331376 . DOI: 10.7527/S1000-6893.2024.31376
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