TY - GEN
T1 - Research on Multistage Fault Coupling Diagnosis Method of Hydraulic Servo Actuator
AU - Zhao, Zhongrui
AU - Chu, Bing
AU - Ge, Zehua
AU - Li, Xueyuan
AU - Yu, Liming
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - Hydraulic servo actuator (HSA) is a key component to drive flight control surface and widely used in today’s civil aircraft. Due to the poor working link of HSA, and with the long-term accumulation of work, various faults and even coupling faults may occur, which increases the difficulty and cost of maintenance. Therefore, researchers pay more and more attention to the research of fault diagnosis technology, through the detection of system operation to find faults and analyze faults. In this paper, a simplified mathematical model is established for the jet pipe hydraulic servo actuator commonly used in aviation. Then, a complex HSA simulation model is established in the multidisciplinary simulation platform AMESim, and the simulation of single-stage and multi-stage coupling fault modes is injected into the simulation model. Finally, the obtained signal data is preprocessed by MATLAB, and fifteen fault features are extracted from the processed data. The back propagation (BP) neural network is used to train the data, and then the test is carried out to diagnose various fault modes, so as to realize the diagnosis function of various coupling faults. This paper can provide a theoretical method for the diagnosis of complex failure modes of aviation HSA, thereby reducing the cost of aircraft maintenance.
AB - Hydraulic servo actuator (HSA) is a key component to drive flight control surface and widely used in today’s civil aircraft. Due to the poor working link of HSA, and with the long-term accumulation of work, various faults and even coupling faults may occur, which increases the difficulty and cost of maintenance. Therefore, researchers pay more and more attention to the research of fault diagnosis technology, through the detection of system operation to find faults and analyze faults. In this paper, a simplified mathematical model is established for the jet pipe hydraulic servo actuator commonly used in aviation. Then, a complex HSA simulation model is established in the multidisciplinary simulation platform AMESim, and the simulation of single-stage and multi-stage coupling fault modes is injected into the simulation model. Finally, the obtained signal data is preprocessed by MATLAB, and fifteen fault features are extracted from the processed data. The back propagation (BP) neural network is used to train the data, and then the test is carried out to diagnose various fault modes, so as to realize the diagnosis function of various coupling faults. This paper can provide a theoretical method for the diagnosis of complex failure modes of aviation HSA, thereby reducing the cost of aircraft maintenance.
KW - BP neural network
KW - Fault diagnosis
KW - Iet pipe hydraulic servo actuator
KW - Multistage coupling fault
UR - https://www.scopus.com/pages/publications/85140469080
U2 - 10.1007/978-981-19-6226-4_41
DO - 10.1007/978-981-19-6226-4_41
M3 - 会议稿件
AN - SCOPUS:85140469080
SN - 9789811962257
T3 - Lecture Notes in Electrical Engineering
SP - 407
EP - 418
BT - Proceedings of 2022 Chinese Intelligent Systems Conference - Volume II
A2 - Jia, Yingmin
A2 - Zhang, Weicun
A2 - Fu, Yongling
A2 - Zhao, Shoujun
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th Chinese Intelligent Systems Conference, CISC 2022
Y2 - 15 October 2022 through 16 October 2022
ER -