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民用航空发动机引气系统部件寿命建模 被引量:4

Component Life Modeling of Civil Aeroengine Bleed Air System
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摘要 针对飞机维修工作中发动机引气系统故障率较高问题,以寿命数据分析为基础,运用威布尔分布模型定量评估航空发动机部件可靠性,建立了民用航空发动机引气系统部件可靠性寿命模型。以V2500发动机引气系统为例,收集了该系统的可靠性数据,分析了部件的非计划拆换情况。在数据计算过程中采用3参数威布尔分布模型对引气系统部件的寿命数据进行拟合。假设检验结果表明,在对部件进行寿命可靠性分析时,运用威布尔分布建立的数学模型符合客观规律,且能够取得良好的拟合效果。依据计算出的部件可靠性特征量对部件的可靠性状况进行定量评估,结果表明:在评估复杂机械电子系统的可靠性时,威布尔分布模型具有较大应用价值。 Aiming at the problem of high failure rate of the engine bleed air system in the aircraft maintenance work,based on the life data analysis,the reliability of the aeroengine component was quantitatively evaluated by the Weibull distribution model,and the component reliability life model of the bleed air system of the civil aeroengine was established.Taking the V2500 engine bleed air system as an example,the reliability data of the system was collected,and the unscheduled replacement of the components was analyzed.In the process of data calculation,the component life data of the bleed air system were fitted by using the Weibull distribution model with 3 parameters.The hypothetical test results show that the mathematical model established by Weibull distribution accords with the objective law when the life reliability analysis of the components is carried out,and good fitting effect can be obtained.According to the calculated reliability characteristic quantity of the component,the reliability status of the component was evaluated quantitatively.The results show that the Weibull distribution model is of great application value in evaluating the reliability of complex mechanical and electronic systems.
作者 袁忠大 程秀全 张勇 YUAN Zhong-da;CHENG Xiu-quan;ZHANG Yong(School of Aircraft Maintenance Engineering,Guangzhou Civil Aviation College,Guangzhou 510403,China;Institute of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,China)
出处 《航空发动机》 北大核心 2020年第1期6-11,共6页 Aeroengine
基金 国家自然科学基金(51575117) 广东省高等学校中青年教师国内访问学者项目资助
关键词 民用航空发动机 引气系统 部件寿命 可靠性模型 非计划拆换 维修 civil aeroengine bleed air system component life reliability model unplanned replacement maintenance
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