基于状态监测的飞机液压系统维修决策优化方法研究

In view of the deficiency of the aircraft hydraulic system maintenance method based on the current maintenance optimization of components and circuits, limited capacity for unscheduled disturbance prediction, emergency response, and the serious situation, such as the unbalanced conversion rate of hydraulic components, excessive spare hydraulic component and high failure rate, this program aims to solve the key technical issues in aircraft hydraulic system maintenance decision support. And it puts forward for the whole life, total fleet and the total cost of airplane hydraulic system maintenance decision optimization of technical route, researches the air transport big data mining methods, explores the aircraft hydraulic system monitoring methods based on performance parameters of the degradation performance, reveals the performance degradation process of aircraft hydraulic system, builds reliability prediction model of aircraft hydraulic system, Studies aircraft maintenance decision model, seeks the planned and unscheduled maintenance decision optimization method based on the cost and the state of airplane hydraulic system. Based on these models and techniques, a configurable and expandable aircraft hydraulic system maintenance decision support system would to be developed and authenticated for the testing. This program is intended to provide concrete theoretical and technical basis for upgrading domestic level of domestic aircraft hydraulic system security monitoring, maintenance planning, global scheduling, and eventually enables airlines to achieve the goal of lean aircraft hydraulic system management.

针对目前的飞机液压系统维修决策方法对元件和回路的维修优化不够，对非计划扰动因素的预测和应对能力不强，以及由此带来的液压元器件拆换率不均衡、备件数量偏多和故障率偏高的严峻形势，本项目致力于解决飞机液压系统维修决策优化的关键科学技术问题，提出面向全寿命和全成本的飞机液压系统维修决策优化的技术路线，研究基于民用航空运输大数据的液压系统性能监测方法，建立飞机液压系统可靠性预测模型，在分析飞机液压系统维修决策模式的基础上，构建飞机液压系统计划内维修优化模型、非计划内维修优化模型，在此基础上，建立构件化、易扩展的飞机液压系统维修决策优化支持系统并完成系统的测试验证，为提高我国航空公司机队的液压系统状态监测、可靠性预测和维修决策的水平，实现飞机液压系统机务维修工程管理的精益化奠定理论和技术基础。

飞机液压系统的维修决策取决于对元件及回路的状态的监测。首先，从液压元件的故障机理出发，研究了液压管路流固耦合作用振动传递机理，分析裂纹程度对管路振动特性的影响，获得管路固有频率对裂纹程度的变化规律；探索了基于微动损伤的液压密封特性提升方法，分析了液压密封材料的摩擦磨损特性，设计了基于表面微织构对密封性的影响。其次，针对机载液压系统常见的泄露故障，开展了基于改进神经网络的裂纹管路故障诊断方法研究，利用粒子群算法对神经网络进行优化，并在此基础上建立液压管路裂纹故障诊断仿真平台，为预测性维修提供了支撑平台。然后，搭建了液压系统故障特性分析实验台，开展了液压部件故障特性试验研究，并对故障诊断方法及诊断平台进行了验证。最后，提出了航空大数据平台基础架构，探索了基于现有航空大数据分析平台的优化运营、优化维护、降低成本、降低风险改进方法，并针对飞机起落架液压系统电液换向阀内泄漏无法实施检测的问题，建立了有源液压测试电液换向阀内泄漏模型，提出了飞机起落架电液换向阀内泄漏故障预测方法。本研究对提高我国机载液压系统状态监测、预测性维修的水平，实现飞机液压系统快速性维修、降低维修成本、提高飞行安全奠定了理论和技术基础。