基于故障逻辑的民机液压状态监控与故障诊断

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中图分类号：V267 文献标志码：A DOI：10.12305/j.issn.1001-506X.2025.03.16

Civil aircraft hydraulic state monitoring and fault diagnosis based on fault logic

FENG Yunwen，PAN Weihuang＊，LUCheng，LIU Jiaqi （School of Aeronautics，Northwestern Polytechnical University，Xi'an 7lOo72，China）

Abstract：Current monitoring data from civil aircraft are difficult to effectively apply to condition monitoring and fault diagnosis，which limits improvements in safetyand reliability.To addressthis，this paper proposes a decision tree model based on hydraulic system component design and monitoring data to achieve operational condition monitoring of the hydraulic system.Additionally，a transfer learning model basedon fault logic and operational dataisproposed for fault diagnosisand localization，aiming to enhancecondition monitoring capabilitiesand fault diagnosis eficiency.First，the principlesof the hydraulic system are analyzed，and operational monitoring indicators are established based on rated parameters from the Flight Crew Operating Manual（FCOM）and monitoring data，with a decision tree model employed to monitor the hydraulic system's operationalcondition.Subsequently，fault formation conditions are organized into a logic diagram，and data from theQuick Access Recorder（QAR）are collected in conjunction with the input signal parameters of the logic diagram to develop a transfer learning model for fault diagnosis and localization.Finally，the proposed methods are validated using a case study of a hydraulic low-pressure fault ina specific type of domestically produced civil aircraft.The results demonstrate that the condition monitoring method efectively quantifies the hydraulic system's operational state，while thefault diagnosis method eficiently identifiesthe causes of faults.

Keywords：state monitoring；fault diagnosis and localization；logic diagram；monitoring parameters; transfer learning

0 引言

一方面能保障民机运行过程中的安全性与可靠性，另一方面也形成民机主制造商的健康管理技术优势，提高民机竞争者进入市场的门槛。（剩余23319字）