北京航空航天大学学报2026，Vol.52Issue(8)：2696-2707,12.DOI:10.13700/j.bh.1001-5965.2025.0537
融合物理信息与参数动量的民机液压系统油液渗漏预测
Fluid leakage prediction for civil aircraft hydraulic systems by fusing physics-informed and parameter momentum
冯蕴雯 1潘维煌 1贺延琛 2陈东 2路成1
作者信息
- 1. 西北工业大学 航空学院,西安 710072||飞行器基础布局全国重点实验室,西安 710072
- 2. 陆军装备部航空军事代表局驻成都地区航空军事代表室,成都 610036
- 折叠
摘要
Abstract
Due to its high frequency,sneaky nature,and possible safety hazards,hydraulic fluid leakage in civil aircraft systems necessitates fault prognostics technology to enable condition-based maintenance for early identification and avoidance.However,leakage fault prognostics faces challenges such as limited monitoring parameters,coarse granularity of onboard alerts,and discontinuity in fluid quantity data caused by pre-flight servicing.In order to estimate the likelihood of leakage occurring,this research suggests a time-series model that combines physics data with fluid amount momentum.The model first introduces physical constraints such as the fluid's coefficient of thermal expansion and the manual-specified allowable leakage rate.Furthermore,by distinguishing between intra-flight and inter-flight modes,a parameter momentum indicator for fluid quantity is constructed to capture the cumulative trend interrupted by servicing and refueling.Finally,a time-series model is utilized to map the dynamics of the fluid quantity,enabling accurate prediction of early and minor leakages.Leveraging real-world operational data from a domestically produced commercial aircraft,this case study validates the proposed method's capability to effectively predict the probability of incipient leakage.The approach offers valuable decision support for implementing condition-based maintenance and advancing the health management of the hydraulic system.关键词
液压油液渗漏/物理信息/参数动量变化/时序预测模型/故障预测Key words
hydraulic fluid leakage/physics-informed/parameter momentum change/time-series prediction model/fault prognostics分类
航空航天引用本文复制引用
冯蕴雯,潘维煌,贺延琛,陈东,路成..融合物理信息与参数动量的民机液压系统油液渗漏预测[J].北京航空航天大学学报,2026,52(8):2696-2707,12.
