Intelligent Health Management of Fixed-Wing UAVs: A Deep-Learning-based Approach

Aiya Cui, Ying Zhang, Pengyu Zhang, Wei Dong, Chunyan Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

11 引用 (Scopus)

摘要

In this paper, the fault diagnosis and health management of fixed-wing UAVs are investigated based on the deep learning technique. The proposed method includes 5 models: flight data generation model, sample training prediction model based on the Long Short-Term Memory (LSTM) network, prediction model based on the grey model, combined prediction model and health calculation and management model. The realtime output of the health prediction value of the fixed-wing UAVs can be obtained, which makes it possible to take remedial action before the fault occurs. And numerical simulations demonstrate the feasibility of the proposed method.

源语言英语
主期刊名16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
出版商Institute of Electrical and Electronics Engineers Inc.
1055-1060
页数6
ISBN(电子版)9781728177090
DOI
出版状态已出版 - 13 12月 2020
活动16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020 - Virtual, Shenzhen, 中国
期限: 13 12月 202015 12月 2020

出版系列

姓名16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020

会议

会议16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
国家/地区中国
Virtual, Shenzhen
时期13/12/2015/12/20

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