TY - GEN
T1 - Intelligent Health Management of Fixed-Wing UAVs
T2 - 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
AU - Cui, Aiya
AU - Zhang, Ying
AU - Zhang, Pengyu
AU - Dong, Wei
AU - Wang, Chunyan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/13
Y1 - 2020/12/13
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85100093759&partnerID=8YFLogxK
U2 - 10.1109/ICARCV50220.2020.9305491
DO - 10.1109/ICARCV50220.2020.9305491
M3 - Conference contribution
AN - SCOPUS:85100093759
T3 - 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
SP - 1055
EP - 1060
BT - 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 December 2020 through 15 December 2020
ER -