航空发动机运行过程中广泛存在着其他类型的数据,采用数据融合方法可以充分利用多源数据获取可靠性信息。考虑到航空发动机性能衰退性故障和突发故障同时存在,表现为竞争风险的形式,这种多故障模式也会对可靠性评估结果产生影响。在竞争风险的框架前提下,提出一种基于数据融合的航空发动机可靠性评估模型。该模型相对于只利用故障数据进行的可靠性评估,具有更好的可操作性;相对于只考虑一种故障模式进行的可靠性评估,更加符合航空发动机实际,评估结果也更加准确。通过算例验证了提出方法的有效性。
Reliability evaluation for aircraft engines is difficult because of the scarcity of failure data. But aircraft engine data are available from a variety of sources. Data fusion has the function of maximizing the amount of valu- able information extracted from disparate data sources to obtain the comprehensive reliability knowledge. Consid- ering the degradation failure and the catastrophic failure simultaneously, which are competing risks and can affect the reliability, a reliability evaluation model based on data fusion for aircraft engines is developed, Above the characteristics of the proposed model, reliability evaluation is more feasible than that by only utilizing failure data alone, and is also more accurate than that by only considering single failure mode. Example shows the effective- ness of the proposed model.