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REREARCH ON A PROGNOSTIC AND HEALTH MONITORING APPROACH FOR EMAS IN THE FLIGHT CONTROL SYSTEM

机译:在飞行控制系统中对EMAs进行预测和健康监测的方法的研究

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For a more critical use in commercial aircraft, the Electromechanical Actuators(EMAs) technology must prove to be the same level of safety and reliability assystems based on Electrohydrostatic Actuators (EHA) and Hydraulics Actuators(HAs).The use of a Prognostic and Health Monitoring (PHM) is an additional way tosecure the jamming free approach for EMA in flight control system and is becomingrecognized as an efficient strategy for increasing reliability and improvingmaintenance of EMAs in this area.Firstly, does a detailed analysis of the multi-EMA system, and builds the fault treeof system, considering the three aspects of the control unit, electrical equipment andmechanical equipment; secondly, monitors the real state of the EMAs, relying onalready existing sensors and signals, such as motor currents, temperature sensor andposition sensors, according to the presented results, the current and position signalscan provide useful information for monitoring the EMAs; in the end, assesses andforecasts the health status, the failure time, remaining life of the components andsystem, through the fast Fourier transform algorithm and intelligent fuzzy logicmodel(FLM).
机译:对于在民用飞机中更关键的用途,机电执行器 (EMA)技术必须证明与 基于静电静液压执行器(EHA)和液压执行器的系统 (HAs)。使用预后和健康监测(PHM)是另一种方法 在飞行控制系统中确保EMA的无干扰方法,并且正在成为 被公认为提高可靠性和改进效率的有效策略 维护该区域的EMA。 首先,对多EMA系统进行详细分析,并建立故障树 在系统方面,要考虑控制单元,电气设备和 机械设备;其次,依靠监控EMA的真实状态 已经存在的传感器和信号,例如电动机电流,温度传感器和 位置传感器,根据显示的结果,电流和位置信号 可以提供有用的信息来监控EMA;最后,评估并 预测健康状况,故障时间,组件的剩余寿命以及 系统,通过快速傅里叶变换算法和智能模糊逻辑 型号(FLM)。

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