融合物理信息与参数动量的民机液压系统油液渗漏预测OA

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.