Study on the diagnosis method of aero-engine health status based on stacking ensemble learning

Chenhui Ren, Huajin Lei, Haiping Dong*, Xue Dong, Yuxi Tao

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Effective health status diagnosis of the aero-engine not only helps improve the safety and reliability of aero-engines, but also helps engineers and maintenance workers reduce engine maintenance and support costs. Firstly, this paper proposes integrating five different base learners based on the Stacking method to diagnose the health status of the aero-engine. Then, the deep neural network (DNN) is used to learn the complex nonlinear relationship between the base learners in Stacking ensemble (SE) learning. Finally, a case study shows that the established ensemble model has higher diagnostic stability, generalization ability and strong learning ability, and proves to be effective in health status diagnosis of aero-engines.

源语言英语
主期刊名Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019
编辑Chuan Li, Shaohui Zhang, Jianyu Long, Diego Cabrera, Ping Ding
出版商Institute of Electrical and Electronics Engineers Inc.
394-400
页数7
ISBN(电子版)9781728101996
DOI
出版状态已出版 - 8月 2019
活动2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019 - Beijing, 中国
期限: 15 8月 201917 8月 2019

出版系列

姓名Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019

会议

会议2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019
国家/地区中国
Beijing
时期15/08/1917/08/19

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引用此

Ren, C., Lei, H., Dong, H., Dong, X., & Tao, Y. (2019). Study on the diagnosis method of aero-engine health status based on stacking ensemble learning. 在 C. Li, S. Zhang, J. Long, D. Cabrera, & P. Ding (编辑), Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019 (页码 394-400). 文章 9169001 (Proceedings - 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SDPC.2019.00078