摘要
根据弹用涡扇发动机的结构和使用特点,选择平均故障间隔时间MTBF(Mean Time Between Failure)、起动可靠度RST(Rate of Startup Successfully)、平均故障前工作时间MTTF(Mean Time To Failure)作为弹用涡扇发动机的可靠性参数体系.MTBF是反映发动机基本可靠性参数,利用Bayes数据融合技术建立MTBF评定模型.RST是反映发动机起动可靠性参数,利用基于故障树分析方法建立起动可靠性评定模型.MTTF是反映发动机任务可靠性参数,基于在任务期间发动机关键件的寿命分布模型进行可靠性评定.通过应用表明:评定参数选择合理,指标评定方法有效,为评估弹用发动机在研制、生产、使用阶段的可靠性水平提供了参考依据.
Based on the characteristics of structures and employments on missile turbofan engine, mean time between failure(MTBF) , rate of startup successfully(RST) and mean time to failure (MTTF)were chosen as the parameters of reliability evaluation. MTBF reflect the basic reliability, and MTBF evaluation model was erected based on Bayes data fusion technology. RST reflect starting reliability, and RST evaluation model was established by dint of fault tree analysis. MTTF embody mission reliability, and MTTF distribution model according to key components during operation founded. These evaluation methods are evaluated by application on certain missile turbofan engine. The parameters are selected effectively, the models are correct, and the conclusions can be used as reference in reliability evaluation during development and employment.
出处
《北京航空航天大学学报》
EI
CAS
CSCD
北大核心
2009年第12期1468-1472,共5页
Journal of Beijing University of Aeronautics and Astronautics
关键词
弹用涡扇发动机
可靠性参数
指标评定
数据融合
missile turbofan engine
reliability parameter
targets assessment
data fusion