A Real-Time Recognition Method for Telemetry Status of Spacecraft in-Orbit Based on Neural Network Pattern Recognition
| Autor: | Wei Qin, Yufei Liu, Guo Yongfu, Ping Yang, Haixiao Zhuang, Han Hongbo, Bing Chen, Zhang Xiaopeng, Zhixin Chen |
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| Rok vydání: | 2018 |
| Předmět: |
Artificial neural network
Spacecraft Computer science business.industry SIGNAL (programming language) Pattern recognition Identification (information) Telemetry Physics::Space Physics Pattern recognition (psychology) Orbit (dynamics) Astrophysics::Earth and Planetary Astrophysics Artificial intelligence State (computer science) business |
| Zdroj: | 2018 3rd International Conference on Mechanical, Control and Computer Engineering (ICMCCE). |
| DOI: | 10.1109/icmcce.2018.00080 |
| Popis: | Aiming at the problem of real-time recognition of in-orbit spacecraft state, a real-time recognition method for spacecraft state in-orbit based on neural network pattern recognition is proposed by taking the telemetry data of solar array as the analysis object. This method uses every signal period as a unit to conduct telemetry in-orbit identification. Through a large number of data tests, the results verify the effectiveness of the method and meet the requirements of in-orbit monitoring for spacecraft with abnormal state. |
| Databáze: | OpenAIRE |
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