民用航空发动机在翼时间控制方法

为了通过视情维修策略控制民航发动机在翼时间,分析了发动机维修与在翼时间的特点,建立了反映在翼时间与状态监测变量和故障强度之间关系的比例强度模型,确立了性能衰退下的在翼时间控制限与单位时间总成本期望值最小时的最优预防性维修间隔,并进行了CF6-80C2A5型发动机运营数据的实例验证。结果表明:故障强度小,则在翼时间控制限低;预防性维修与事后维修成本率会影响最优预防性维修间隔;完备的发动机拆换与在翼历史记录、维修成本、适航与制造商要求、寿命件限制等数据是提高在翼时间控制准确性的关键。     

基于视情维修策略的航空发动机调度方法

基于现代排序理论的建模思想,分析了飞机对发动机的需求特性和发动机使用维修的周转特点,引入工作节的概念,建立了基于视情维修策略的航空发动机调度模型,提出了求解模型的改进在线LPT算法,并以CF6型发动机的使用数据验证了本方法的有效性。发现排序规则是调度计划的重要影响因素,LPT规则与传统的FCFS规则相比,发动机在翼时间长,送修次数少,保障率高,租赁损失成本低。分析结果表明:LPT规则优于传统的FCFS规则,基于视情维修策略的航空发动机调度模型有效、可行。     

Prediction Approach to Life on Wing for Civil Aeroengine

To reduce engine maintenance cost and support safe operation, a prediction method of engine life on wing was proposed. This method is a kind of regression model which is a function of the condition monitoring and failure data. Key causes of engine removals were analyzed, and the life limit due to performance deterioration was predicted by proportional hazards model. Then the scheduled removal causes were considered as constraints of engine life to predicte the final life on wing. Application of the proposed prediction method to the case of CF6-80C2A5 engine fleet in an airline proved its effectiveness.