摘要
针对不同油液指标信息的多样性导致油液状态评估结果存在不确定性的问题,基于模糊证据理论方法提出了1种考虑油液特征不确定的综合状态评估方法。应用模糊证据理论对油液多指标信息推理导致的不确定性结论进行多指标融合,进而应用模糊推理算法实现油液状态量化表征,建立了滑油衰变趋势分析模型,并通过实验室环境下的滑油监测数据进行油液状态评估以验证方法的有效性。结果表明:该方法对监测指标变化趋势矛盾的滑油状态评估有较好的效果,准确性和一致性均高于90%。
In view of the uncertainty of oil status assessment results caused by the diversity of different oil index information,a comprehensive status assessment method considering the uncertainty of oil characteristics was proposed based on Fuzzy Evidential Reasoning(FER)method. The FER method was applied to the multi-index fusion of the uncertain conclusions caused by the oil multi-index information inference,and then the Fuzzy Inference System(FIS) was applied to realize the quantitative characterization of oil status. The analysis model of oil decay trend was established,and the oil status was evaluated by oil monitoring data in laboratory environment to verify the effectiveness of the method. The results show that the method has a good effect on the assessment of oil status with contradictory trend of monitoring index,and the accuracy and consistency are higher than 90%.
作者
孔祥兴
潘燕
武通海
KONG Xiang-xing;PAN Yan;WU Tong-hai(Aero Engine Acamedy of China,Beijing 101304,China;Key Laboratory of Education Ministry for Modern Design&Rotor-Bearing System,Xi'an Jiaotong University,Xi'an 710000,China)
出处
《航空发动机》
北大核心
2020年第4期71-77,共7页
Aeroengine
基金
航空动力基础研究项目资助。
关键词
滑油监测
状态评估
健康管理
模糊证据理论
航空发动机
oil monitoring
status assessment
health management
Fuzzy Evidential Reasoning
aeroengine
