RFID技术在民航领域的应用与展望

射频识别技术(RFID)能够快速、实时、准确、无接触地采集物品信息。随着我国航空业的高速发展,其生产、管理的信息化要求越来越高,RFID技术也开始快速应用于民用航空领域中的飞机部件维修、行李管理等方面。本文简要介绍了RFID在民用航空中的应用状况以及RFID在民用航空中应用会遇到的困难和挑战,提出了相应的解决办法。     

浅论机体维修中无损检查人员的培训和授权管理

因其经济性和可靠性,无损检查在民航机体维修中扮演了非常重要的角色。本文从梳理A320机型的NTM和CAAC、FAA适航规章着手,探讨了无损检查人员的培训和授权管理,提出了一些建议,以期提高机体维修中无损检查的效率和质量。     

LEVEL DECISION-MAKING FOR AERO-ENGINE MODULES BASED ON INCREMENTAL KNOWLEDGE LEARNING

The maintenance of an aero-engine usually includes three levels, and the maintenance cost and period greatly differ depending on the different maintenance levels. To plan a reasonable maintenance budget program, airlines would like to predict the maintenance level of aero-engine before repairing in terms of performance parame- ters, which can provide more economic benefits. The maintenance level decision rules are mined using the histori- cal maintenance data of a civil aero-engine based on the rough set theory, and a variety of possible models of upda- ting rules produced by newly increased maintenance cases added to the historical maintenance case database are in- vestigated by the means of incremental machine learning. The continuously updated rules can provide reasonable guidance suggestions for engineers and decision support for planning a maintenance budget program before repai- ring. The results of an example show that the decision rules become more typical and robust, and they are more accurate to predict the maintenance level of an aero-engine module as the maintenance data increase, which illus- trates the feasibility of the represented method.     

基于浴盆曲线故障率函数的FFOP预计方法

与传统可靠性指标中假设产品的随机失效不可避免不同,无故障工作期(FFOP)内产品不会发生任何故障(即零故障)。首先阐述了FFOP的概念内涵、与平均故障间隔时间(MTBF)的区别和联系,提出了一种FFOP的预计方法。该方法假设产品的故障率函数具有浴盆曲线特征、故障发生过程为泊松过程、产品具有固定的免维修工作期。然后以一种改进的Weibull分布函数描述具有浴盆曲线函数特征产品的故障率。基于泊松过程理论,给出了FFOP的预计算法、流程和仿真验证手段。最后以某型无人机舵机为案例对研究方法的可用性进行了验证。结果表明:FFOP与免维修工作期(MFOP)、置信度水平密切相关,及时维修的产品能够保证较长的FFOP。在工程应用时,FFOP的确定应综合考虑运行维护费用进行权衡。     

A Fault Sample Simulation Approach for Virtual Testability Demonstration Test

Virtual testability demonstration test has many advantages,such as low cost,high efficiency,low risk and few restrictions.It brings new requirements to the fault sample generation.A fault sample simulation approach for virtual testability demonstration test based on stochastic process theory is proposed.First,the similarities and differences of fault sample generation between physical testability demonstration test and virtual testability demonstration test are discussed.Second,it is pointed out that the fault occurrence process subject to perfect repair is renewal process.Third,the interarrival time distribution function of the next fault event is given.Steps and flowcharts of fault sample generation are introduced.The number of faults and their occurrence time are obtained by statistical simulation.Finally,experiments are carried out on a stable tracking platform.Because a variety of types of life distributions and maintenance modes are considered and some assumptions are removed,the sample size and structure of fault sample simulation results are more similar to the actual results and more reasonable.The proposed method can effectively guide the fault injection in virtual testability demonstration test.     

飞机维修保障远程技术支援系统建设方案初探

现阶段部队外场新换装飞机使用维修保障支持难度大、外场服务保障能力有限等问题日益凸显。依托信息化技术的发展,建立飞机维修保障远程技术支援系统,是解决上述问题的有效途径。本文从飞机维修保障远程技术支援系统组成及功能、系统构成及关键技术和系统工作流程三方面对系统建设方案进行了初步探索。     

航空装备预防性维修费用的系统动力学分析

分析了维修保障费用产生的因果关系：建立存量、流量、辅助变量、常量之间的关联方程,确定初始值;分析模型的计算结果,通过调整模型的参数来观察模型结果的变化以确定最优策略。着重分析了飞机的零部件故障率、预防性维修的频率等对寿命周期内装备的维修保障费用的影响．结果表明本仿真方法具有一定的实用性。     

灰色聚类法在航空装备维修保障能力评估中的应用

通过对航空装备维修保障系统的分析,用灰色聚类法给出了航空装备维修保障能力评估指标体系综合评估模型,并进行了实例分析.     

部分可观测信息条件下装备剩余寿命预测

 针对部分可观测信息条件下退化系统的剩余寿命(RUL)预测问题,综合利用装备的历史寿命信息和性能退化信息,采用隐马尔可夫模型(HMM)对系统进行状态评估,得到系统的转移概率矩阵和观测概率矩阵;采用Bayes方法不断更新系统状态空间的条件概率分布;利用比例故障率模型(PHM)对系统进行可靠性分析,得到系统的故障率和可靠度函数,进而得到装备的剩余寿命分布。研究表明,该方法可较准确地预测装备的剩余寿命,为保障人员提供科学的维修决策依据。     

导电滑环检测方法研究

制定了导电滑环检测项目：绝缘电阻、接触电阻、接触电阻变化量、载流量、隔离度、电磁噪声、传输能力,并对各检测项目制定了详细的测试方法,为导电滑环的有效检测奠定了很好的基础。