TY - GEN
T1 - Compound Fault Diagnosis of Civil Aircraft Hydraulic System Based on Probabilistic Logic Reasoning
AU - Wang, Rui
AU - Feng, Yun Wen
AU - Teng, Da
AU - Lu, Cheng
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - The hydraulic system of civil aircraft is one of the key systems to realize aircraft maneuvering and ensure the safe operation of aircraft. For hydraulic system fault diagnosis, researchers have carried out large number of studies, and the constructed research model can effectively identify a single fault type. With the increasing complexity of the aircraft executive function, the compound and hidden faults gradually increase, resulting in mixed fault diagnosis characteristics, which caused it is difficult to distinguish specific fault combinations. To address this dilemma, this paper proposes a composite fault diagnosis method based on Bayesian network and hydraulic system working logic, constructs a transfer model between fault characterization parameters and hydraulic system faults based on the system working principle, and proposes a composite fault diagnosis model based on the actual data of single fault, the virtual data output from the working logic model and the combination of Bayesian network. The effectiveness of the method is verified using QAR data from actual operations, and the results show that the method is extremely effective for compound fault diagnosis of hydraulic systems.
AB - The hydraulic system of civil aircraft is one of the key systems to realize aircraft maneuvering and ensure the safe operation of aircraft. For hydraulic system fault diagnosis, researchers have carried out large number of studies, and the constructed research model can effectively identify a single fault type. With the increasing complexity of the aircraft executive function, the compound and hidden faults gradually increase, resulting in mixed fault diagnosis characteristics, which caused it is difficult to distinguish specific fault combinations. To address this dilemma, this paper proposes a composite fault diagnosis method based on Bayesian network and hydraulic system working logic, constructs a transfer model between fault characterization parameters and hydraulic system faults based on the system working principle, and proposes a composite fault diagnosis model based on the actual data of single fault, the virtual data output from the working logic model and the combination of Bayesian network. The effectiveness of the method is verified using QAR data from actual operations, and the results show that the method is extremely effective for compound fault diagnosis of hydraulic systems.
KW - Bayesian network
KW - Compound fault diagnosis
KW - hydraulic system
KW - working mechanism
UR - https://www.scopus.com/pages/publications/105040512149
U2 - 10.1007/978-3-032-17313-3_79
DO - 10.1007/978-3-032-17313-3_79
M3 - 会议稿件
AN - SCOPUS:105040512149
SN - 9783032173126
T3 - Mechanisms and Machine Science
SP - 1016
EP - 1032
BT - Computational and Experimental Simulations in Engineering - Proceedings of ICCES 2025
A2 - Feng, Xiqiao
A2 - Zhou, Kun
PB - Springer Science and Business Media B.V.
T2 - 31st International Conference on Computational and Experimental Engineering and Sciences, ICCES 2025
Y2 - 25 May 2025 through 29 May 2025
ER -