航空发动机磨损故障的智能融合诊断

Intelligent Fusion Diagnosis of Aeroengine Wear Faults

提出了航空发动机磨损故障的智能融合诊断方法。对油样分析中多种数据源信息的特点进行分析,根据不同的诊断目的对多种分析方法进行了相应的组合;利用基于规则的专家系统诊断技术,分别实现发动机磨损故障的定位、定性及定因的单项诊断;在此基础上,利用D—S证据理论,实现了发动机磨损故障的融合诊断;最后用算例验证了方法的正确性和有效性。

Aiming at aeroengine wear faults diagnosis, a new method, intelligent fusion diagnosis of aeroengine wear faults was put forward. Firstly, the characteristics of manifold data sources from oil analysis were analyzed, and they were combined according to various diagnosis objective. Secondly, they are used respectively to diagnose engine wear faults' parts, properties, and reasons by Expert System (ES) method based on knowledge rule. On these basis, fusion diagnosis of aeroengine wear faults' parts and reasons was carried out by D-S evidence theory. Finally, an example is given to show that the presented method is corrective and effective.