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Experimental Validation of a Prognostic Health Management System for Electro-Mechanical Actuators

机译:电力致动器预后健康管理系统的实验验证

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Electro-Mechanical Actuators (EMA) are gaining prominent roles in the next generation fly-by-wire aircraft and spacecraft. With these roles often being safety-critical (control surface or landing gear actuation, for instance), the key to faster adoption of EMA in aerospace applications is development of accurate and reliable prognostic health management (PHM) systems that not only detect and identify faults, but also predict how the identified they affect the remaining useful life (RUL) of both the faulty component and the actuator as a whole. Such information can be invaluable to pilots, controllers, and maintenance personnel in assessing how to complete or re-plan the desired mission with a sufficient safety margin. A team consisting of members of NASA Ames Diagnostic & Prognostic Group has developed a prototype PHM system for EMA that provides coverage for a number of faults modes typical to this type of actuators. The diagnostic portion of the system is implemented using a hybrid approach which utilizes both qualitative (bond graph, model-based) and quantitative (data-driven) reasoners to achieve low false positive and false negative detection rates and a high accuracy of diagnostic output. Once a fault has been diagnosed, the prognostic component, which is implemented using Gaussian Process Regression (GPR) principles, estimates the RUL of the component that is faulted. Experiments were conducted both in laboratory and flight conditions to validate the PHM system using an innovative Flyable Electromechanical Actuator (FLEA) test stand. The test stand allows experimental actuators to be subjected to environmental and operating conditions similar to what actuators on the host aircraft are experiencing, while providing researchers with the capability to safely inject and monitor propagation of various fault modes. Prognostic run-to-failure experiments were done in laboratory conditions on ball-screw jam and motor winding short faults. Flight experiments (albeit not run-to-failure) were conducted in collaboration with the US Army on UH-60 Blackhawk helicopters. The paper describes these experiments in detail and presents the results obtained from the PHM system with regard to the estimation of the RUL of the actuator.
机译:电动机械执行器(EMA)在下一代飞丝飞机和航天器中获得突出的角色。在这些角色通常是安全关键(例如,控制表面或着陆齿轮致动),在航空航天应用中更快地采用EMA的关键是促进准确可靠的预后健康管理(PHM)系统,不仅可以检测和识别故障,还预测了所识别的方式如何影响故障组件和整体致动器的剩余使用寿命(RUL)。这些信息对于试点,控制器和维护人员来说,在评估如何完成或重新计划具有足够的安全保证金的期望的使命时,这些信息可以非常宝贵。由NASA AMES诊断和预后组成员组成的团队开发了一种用于EMA的原型PHM系统,为此类型的执行器提供了典型的典型故障模式的覆盖范围。系统的诊断部分使用混合方法实现,其利用定性(键盘图,模型)和定量(数据驱动的)推理仪来实现低误报和假阴性检测率和高精度的诊断输出。一旦诊断出故障,使用高斯进程回归(GPR)原则实现的预后组件估计了故障的组件的rul。在实验室和飞行条件下进行实验,以使用创新的可传单机电执行器(FLEA)测试台来验证PHM系统。测试支架允许实验执行器受到类似于主机飞机上的执行器的环境和操作条件,同时为研究人员提供安全地注入和监测各种故障模式的传播。在滚珠丝杠堵塞和电机绕组短断层上的实验室条件下进行了预后碰报实验。在UH-60 Blackhawk直升机上与美国陆军合作进行航班实验(尽管没有失败)。本文详细介绍了这些实验,并介绍了在致动器RUL估计的PHM系统中获得的结果。

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