Parameter Prediction for Aeroengine Lubrication System Based on a BiLSTM-LSTM Model with Attention Mechanism

Author:

Liu Hongwei,Xu Tao,Wu Jiayuan,Cheng Bo,Zhou Zhengyu,Cao Fanghua

Publisher

Springer Nature Singapore

Reference24 articles.

1. Chen, W., Cheng, L., Li, Q.T., et al.: Aero-engine monitoring technology, pp. 24–28. National Defense Industry Press, Beijing (2011) (in Chinese)

2. Wu, Y.H., Shan, M.X., Qian, Y.N., et al.: Aero engine rub-impact fault diagnosis based on wavelet packet transform and the local discriminate bases. Appl. Mech. Mater. 226–228, 740–744 (2012)

3. Yu, X.K., Yang, L., Liu, F., et al.: Aeroengine prediction and health management, pp. 217–218. National Defense Industry Press, Beijing (2014) (in Chinese)

4. Miao, Q., Jiang, J., Zhang, H., et al.: Development of aviation intelligent engine under industrial big data: chances and challenges. Chin. J. Sci. Instrum. 40(7), 1–12 (2019) (in Chinese)

5. Su, L.C., Liu, Z.X., Lu, Y.G.: Pressure simulation of lubrication oil system for an aeroengine. Sci. Technol. Eng. 12(1), 97–102 (2012) (in Chinese)

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