真空电子技术Issue(5)：26-31,6.DOI:10.16540/j.cnki.cn11-2485/tn.2025.05.06
基于机器学习技术的行波管放大器在轨运行评估
On-orbit Operation Evaluation of Traveling Wave Tube Amplifiers Based on Artificial Intelligence Technology
孙蕤 1冯西贤 2白春江 2黄桃 3邓文凯4
作者信息
- 1. 电子科技大学 电子科学与工程学院 微波电真空器件国家级重点实验室,四川 成都 611731
- 2. 中国空间信息技术研究院西安分院,陕西 西安 710100
- 3. 电子科技大学 电子科学与工程学院 微波电真空器件国家级重点实验室,四川 成都 611731||电子科技大学(深圳)高等研究院,广东 深圳 518000
- 4. 电子科技大学(深圳)高等研究院,广东 深圳 518000
- 折叠
摘要
Abstract
Conducting on-orbit status evaluation of the traveling wave tube amplifiers(TWTAs)and predic-ting their future working status can effectively ensure the safe operation of the satellite system.By processing the on-orbit telemetry data of the TWTAs,the informer model is employed to perform long-sequence time prediction on the output power of the product and the temperature of the TWTs.The time-step of the historical telemetry data for model training are set to 240,while the prediction target is set to 60 time-step.The prediction task is executed for six rounds,and the real telemetry data is used for comparison.The comparison results show that the prediction results of the model exhibit consistent trends and periodicity with the real data.The model provides an effective e-valuation method for the on-orbit operation of the TWTAs.关键词
人工智能/行波管放大器/在轨状态评估Key words
Artificial intelligence/Traveling wave tube amplifier/On-orbit status evaluation分类
电子信息工程引用本文复制引用
孙蕤,冯西贤,白春江,黄桃,邓文凯..基于机器学习技术的行波管放大器在轨运行评估[J].真空电子技术,2025,(5):26-31,6.
