Remaining Useful Life Prediction of Control Moment Gyro in Orbiting Spacecraft Based on Variational Autoencoder
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8178-6_30
Reference20 articles.
1. Higashiyama, D., Shoji, Y., Satoh, S., et al.: Attitude control for spacecraft using pyramid-type variable-speed control moment gyros. Acta Astronaut. 173, 252–265 (2020)
2. Zhang, Z., Si, X., Hu, C., et al.: Degradation data analysis and remaining useful life estimation: a review on wiener-process-based methods. Eur. J. Oper. Res. 271(3), 775–796 (2018)
3. Peng, Y., Pan, X., Wang, S., et al.: An aero-engine RUL prediction method based on VAE-GAN. In: 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD), pp. 953–957. IEEE (2021)
4. Mao, W., He, J., Zuo, M.J.: Predicting remaining useful life of rolling bearings based on deep feature representation and transfer learning. IEEE Trans. Instrum. Meas. 69(4), 1594–1608 (2019)
5. Youness, G., Aalah, A.: An explainable artificial intelligence approach for remaining useful life prediction. Aerospace 10(5), 474 (2023)
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